Unit 1

Introductory Concepts: What is the IoT and why is it important? Elements of an IoT ecosystem,
Technology drivers, Business drivers, Trends and implications, Overview of Governance,
Privacy and Security Issues.
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IoT: The internet of things, or IoT, is a network of interrelated devices that connect and
exchange data with other IoT devices and the cloud. IoT devices are typically embedded with
technology such as sensors and software and can include mechanical and digital machines and
consumer objects.
Increasingly, organizations in a variety of industries are using IoT to operate more efficiently,
deliver enhanced customer service, improve decision-making and increase the value of the
business.
With IoT, data is transferable over a network without requiring human-to-human or
human-to-computer interactions.
A thing in the internet of things can be a person with a heart monitor implant, a farm animal with
a biochip transponder, an automobile that has built-in sensors to alert the driver when tire
pressure is low, or any other natural or man-made object that can be assigned an Internet
Protocol address and is able to transfer data over a network.

IoT − Key Features

The most important features of IoT include artificial intelligence, connectivity, sensors, active
engagement, and small device use. A brief review of these features is given below:
● AI – IoT essentially makes virtually anything “smart”, meaning it enhances every aspect
of life with the power of data collection, artificial intelligence algorithms, and networks.
This can mean something as simple as enhancing your refrigerator and cabinets to detect
when milk and your favorite cereal run low, and to then place an order with your
preferred grocer.
● Connectivity – New enabling technologies for networking, and specifically IoT
networking, mean networks are no longer exclusively tied to major providers. Networks
can exist on a much smaller and cheaper scale while still being practical. IoT creates
these small networks between its system devices.
● Sensors – IoT loses its distinction without sensors. They act as defining instruments
which transform IoT from a standard passive network of devices into an active system
capable of real-world integration.
● Active Engagement – Much of today's interaction with connected technology happens
through passive engagement. IoT introduces a new paradigm for active content, product,
or service engagement.
 ● Small Devices – Devices, as predicted, have become smaller, cheaper, and more powerful
over time. IoT exploits purpose-built small devices to deliver its precision, scalability,
and versatility.

Characteristics of IoT

● Massively scalable and efficient

● IP-based addressing will no longer be suitable in the upcoming future.
● An abundance of physical objects is present that do not use IP, so IoT is made possible.
● Devices typically consume less power. When not in use, they should be automatically
programmed to sleep.
● A device that is connected to another device right now may not be connected in another
instant of time.
● Intermittent connectivity – IoT devices aren’t always connected. In order to save
bandwidth and battery consumption, devices will be powered off periodically when not in
use. Otherwise, connections might turn unreliable and thus prove to be inefficient.

Desired Quality of any IoT Application

● Interconnectivity: It is the basic first requirement in any IoT infrastructure. Connectivity
should be guaranteed from any devices on any network then only devices in a network
can communicate with each other.
 ● Heterogeneity: There can be diversity in IoT enabled devices like different hardware and
software configuration or different network topologies or connections, but they should
connect and interact with each other despite so much heterogeneity.
● Dynamic in Nature: IoT devices should dynamically adapt themselves to the changing
surroundings like different situations and different prefaces.
● Self-adapting and self configuring technology: For example, surveillance camera. It
should be flexible to work in different weather conditions and different light situations
(morning, afternoon, or night).
● Intelligence: Just data collection is not enough in IoT, extraction of knowledge from the
generated data is very important. For example, sensors generate data, but that data will
only be useful if it is interpreted properly. So intelligence is one of the key characteristics
in IoT. Because data interpretation is the major part in any IoT application because
without data processing we can’t make any insights from data. Hence, big data is also one
of the most enabling technologies in IoT field.
● Scalability: The number of elements (devices) connected to IoT zones is increasing day
by day. Therefore, an IoT setup should be capable of handling the expansion. It can be
either expand capability in terms of processing power, storage, etc. as vertical scaling or
horizontal scaling by multiplying with easy cloning.
● Identity: Each IoT device has a unique identity (e.g., an IP address). This identity is
helpful in communication, tracking and to know status of the things. If there is no
identification then it will directly affect security and safety of any system because without
discrimination we can’t identify with whom one network is connected or with whom we
have to communicate. So there should be clear and appropriate discrimination technology
available between IoT networks and devices.
● Safety: Sensitive personal details of a user might be compromised when the devices are
connected to the Internet. So data security is a major challenge. This could cause a loss to
the user. Equipment in the huge IoT network may also be at risk. Therefore, equipment
safety is also critical.
● Architecture: It should be hybrid, supporting different manufacturer’s products to
function in the IoT network.

IoT Application

1. Smart Homes: Developing smart homes has caused a revolution in designing residential
homes. The smart home products would save energy, time and money. A Smart Home
would enable the owner to control household jobs at the house even from a remote
location. For example, switching on the air conditioner or heaters minutes before
reaching home, switching on / off the lights, controlling the washing machine, etc.
 Although such smart homes have been implemented, the cost of establishing such homes
is still a major restriction that limits its usage.
2. Wearable Devices: Wearable devices include wrist watches or glasses that are installed
with sensors and software which collect and analyze data. Companies like Google and
Samsung have invested heavily in building such devices. These devices broadly cover
fitness, health and entertainment requirements. A major challenge for developing such
systems is that it should be lightweight, small in size and should have very low power
consumption.
3. Traffic Monitoring: Vehicles should be capable of optimizing its operation, fuel
consumption, pollution control, maintenance and comfort of passengers. A breakthrough
will be achieved if such smart traffic could be developed as it would drastically reduce
road accident casualties. By installing sensors and using web applications, citizens can
also find free available parking slots across the city.
4. Industrial Internet: Industrial Internet is the new buzz in the industrial sector, also
termed as Industrial Internet of Things (IIoT). It is empowering industrial engineering
with sensors, software and big data analytics to create brilliant machines. IIoT holds great
potential for quality control and sustainability. Applications for tracking goods, real time
information exchange about inventory among suppliers and retailers and automated
delivery will increase the supply chain efficiency.
5. Smart Cities: Smart city is another buzzword gaining immense interest from the public.
Smart surveillance, automated transportation, smarter energy management systems, water
distribution, urban security and environmental monitoring all are examples of internet of
things applications for smart cities. It will solve major problems faced by the people
living in cities like pollution, traffic congestion and shortage of energy supplies etc.
Products like cellular communication enabled Smart trash will send alerts to municipal
services when a bin needs to be emptied.
6. Agriculture: With the continuous increase in world’s population, demand for food
supply is extremely high. Governments are helping farmers to use advanced techniques
and research to increase food production. Smart farming is one of the fastest growing
fields in IoT. Farmers are using meaningful insights from the data to yield better return on
investment. Sensing for soil moisture and nutrients, controlling water usage for plant
growth and determining custom fertilizer are some simple uses of IoT.
7. Healthcare: The concept of a connected healthcare system and smart medical devices
bears enormous potential not just for companies, but also for the well-being of people in
general. Research shows IoT in healthcare will be massive in coming years. IoT in
healthcare is aimed at empowering people to live healthier life by wearing connected
devices. The collected data will help in personalized analysis of an individual’s health
and provide tailor made strategies to combat illness.
Importance of IoT

1) More data means better decisions: With added sensors, these devices are able to collect a
large amount of data on many different areas.
For example, in addition to the practical elements of being able to know which foods are going
out of date in your smart refrigerator, this enhanced household item will be able to give you
additional information on its power consumption, temperature, average time of the door spent
open and much more. A greater flow of information means that the company behind the device
can analyze large trends in the data to better improve the features of the device.

2) Ability to track and monitor things: As well as tracking data for a company to use, it also
greatly benefits the user. These devices would have the ability to keep an eye out on the current
quality of goods at home. Knowing the state of your items will allow a homeowner to know
when they need to replace an item, without them having to consistently check the quality
themselves.

3) Lighten the workload with automation: Having a device doing most of the work for you
means that you can save more time and cost. Imagine having your fridge order a new carton of
milk to be delivered when it reaches a certain level of expiry?
This greatly reduces human efforts. It also results in devices being created that need little to no
human intervention, allowing them to operate entirely on their own.

4) Increases efficiency by saving money and resources: As well as saving time for the device
owner, it can also result in cost savings. For example, if lights automatically turn themselves off
the moment you leave the room, you could save a lot of money on electricity bills.

5) Better quality of life: In the end, all the benefits lead to an increased quality of life. IoT can
track devices and orders things, turn light switches off, and help manage important tasks.

Improvements to your lifestyle, health benefits and improved wellness are also part of the IoT
future. For example, those that exercise regularly can utilize wearable technology to help them
track their heart rate,body temperature, and hydration to stay in shape and monitor their health.

6) Better Decision Making: Since devices have multiple sensors, they can acquire considerable
data from numerous sources, giving them more information to work with when acting on data
received.
A great example is smartphones. The device automatically tracks your behaviors on its interface
and makes suggestions based on your activity, location, and age.

The phone can also keep tabs on various activities. This includes the amount of screen time users
spend each day, power consumption, and sleeping patterns. Massive amounts of data are being
collected and sent back to smartphone companies each day to improve features on their devices.

With the constant influx of big data, companies begin to see trends in the usage of their devices
and can immediately pinpoint their strengths and weaknesses. This insight would not be possible
without the help of embedded sensors and processors which analyze the data.

7. Real-time Tracking and Monitoring: The potential for web-based tracking and monitoring
systems is enormous. IoT tracking provides an efficient means to track and monitor anything
from vehicle fleets, stolen goods, or shipping containers.

Particular devices can even detect changes in the environment. There are multiple industries
where IoT trackers can immensely improve the efficiency of companies. A malfunction in these
products can lead to enormous losses for the company.

IoT-based trackers need to be reliable to provide the best services. These devices should provide
the following:

● Real-time data analytics: Fast, accurate data is required in the industry to allow for
quick, informed decision-making when assets or changes in the environment are being
monitored.
● Secure communication: Companies usually track and monitor high-value assets. It is
essential that the shared data is protected and not under the threat of hackers.
● Stable connectivity: The device should securely provide helpful information on asset
locations, machine functionality, and temperatures. This is required at all times and from
anywhere on the planet.

8. Automation: A big reason for the invention of IoT is convenience. Smart devices that
automate daily tasks allow humans to do other activities. These devices ultimately lighten
people’s workload. Smartphones allow us to connect with people from all over the world. We can
schedule when to send messages and even use dictation to avoid typing ourselves.

Then there are smart fridges. Imagine having one that can detect when foods are about to expire
and notify the owner to eat that food before it’s too late. Perhaps the smart fridge could even
register that the milk is nearly finished and automatically order more.
Another example is a self-driving car, connecting to the Internet to find the quickest route to a
destination. This is the ultimate convenience for humans. The room for innovation within IoT is
massive.

9. More Efficient Personal and Business Tasks: Web-based devices save people money and
time. This includes planning work schedules, time tracking, effective communication, and setting
reminders for daily tasks.

Disadvantages of IoT
● Security concerns and potential for hacking or data breaches.
● Privacy issues related to the collection and use of personal data.
● Dependence on technology and potential for system failures.
● Limited standardization and interoperability among devices.
● Complexity and increased maintenance requirements.
● High initial investment costs.
● Limited battery life on some devices.
● Concerns about job displacement due to automation.
● Limited regulation and legal framework for IoT, which can lead to confusion and
uncertainty.

IoT Ecosystem
When we talk about an ecosystem, we are talking about a complex system of interconnected
components and the environment in which they exist and with which they interact.

In fact, all components are connected by energy flow, certain cycles (e.g. nutrient cycles in
biology) and their environment. So, the point of connection between all these elements and the
environment is very important in an ecosystem. It distinguishes a system from an ecosystem. I.e.
the system forms a complex and unified whole, while an ecosystem is closely connected to its
environment.

We can use the term IoT ecosystem instead of IoT system because IoT devices have no value
without their existing environment. The main benefit that IoT devices bring to people is data.
These data are related to environmental conditions or external phenomena but also something
within the system. Regardless of the relationship with the environment, all devices are connected
to each other. So, the data’s final destination is always the people who use it.

These three facts (environment, data, people) lead us to the definition of an Internet of Things
ecosystem – a network of interconnected devices existing in a specific environment that collects
data and transmits it to people who use modern technologies. To analyze them to achieve a clear
goal like building a smart home.

While different groups of people create different IoT applications for their needs, IoT software
development creates many IoT ecosystems. These ecosystems can be a simple network with 20
connected devices like a smart home or a multi-level structure with a complex and extensive
network of devices that requires a sophisticated platform to manage all the layers.

The Key Elements of an IoT Ecosystem

IoT devices collect data and transmit it securely to an internet-connected gateway that
compresses the data and sends it to them. This data is sent to the cloud for further analysis and
then displayed within the app to provide users with meaningful information.
Therefore, we have listed the seven major components of an IoT ecosystem:

● IoT devices
● Security
● Network
● Gateway
● The cloud
● Application
● User

1. IoT Devices: IoT devices are actually the layer of sensors, actuators and smart objects that
collect data about the environment and measure physical parameters. Sensors are the perception
of the IoT system, whose main function is to extract information from the environment and
convert it into data.
In the internet of things ecosystem, it is rare to find only one type of sensor or actuator. Because
there are many types of sensors, each type has its subcategories.

So, we want to mention two of the most common and two of the most important sensors for
improving the ecological state of the earth:

● Temperature sensors: They are one of the most common and popular. A wide range of
industries can use these sensors to measure the temperature of industrial machinery to
monitor its condition, to monitor the temperature of a patient continuously, or to monitor
the condition of a farmer’s soil. Subcategories: Thermocouples, RTDs, Infrared Sensors,
etc.
 ● Proximity sensors: They are a popular IoT device because they save light in thousands of
homes with these sensors when no one is around. Subcategories: Inductive sensors,
Photoelectric sensors, Ultrasonic sensors.
● Water quality sensors – They are particularly important due to ocean pollution. Because
these sensors can help monitor water conditions and detect sources of pollution in real
time! Sub-categories: residual chlorine sensor, turbidity sensor, pH sensor.
● Chemical sensors – these monitor chemical changes in the air, which is extremely
important in large cities where air pollution problems continue to worsen. These sensors
are also useful in industrial environmental monitoring, hazardous chemical detection and
radioactive detection. Subcategories: Chemical Field Effect Transistor, Hydrogen
Sulfide Sensor, Potentiometric Sensor.

2. Security: It is the part that includes all the other parts, provides security for data transfer and
prevents unauthorized connections outside the Internet of Things ecosystem.
In recent years, we also see that the number of IoT-based DDoS attacks has skyrocketed.
Therefore, every IoT system needs a strong level of security that at least protects against the
most common vulnerabilities.

The security level has a wide range of responsibilities, such as:

● Access control to the IoT network: Anyone who connects to the network has access to
all its devices, making broken authentication problems particularly acute. Moreover, IoT
devices can also trust the local network so that no further authentication is required.
● Prevention of data loss during data transfer over the network: The data must be
encrypted through the IoT system using protocols such as AES, DES, DSA and others.
● Look for malicious software: Software bugs can sometimes trick attackers into
executing their code on the IoT device. Hence the software versions need to be corrected
when a vulnerability is found.

The Internet of Things ecosystem is also safeguarded by a number of firmware and security
providers, including Azure Sphere, LynxOS, Mocana, Spartan, Forescout, Symantec, etc.

But unfortunately, most Internet of Things vendors and IoT device manufacturers also need to
pay more attention to basic security guidelines. They are:

● The device boot process should be protected from running inappropriate pieces of code.
● Cryptographic keys must be used to execute all commands on devices. This is especially
important when managing IoT updates.
● All commands and control information must pass through a gateway to avoid direct
access to the device outside the network.
 ● All IoT devices must install security patches whenever a new security flaw is detected.

3. Network: The network is the logistical heart of the Internet of Things ecosystem. The network
is also known as the connectivity layer. It is responsible for all communications within the IoT
system: connecting smart objects, transferring data and commands between IoT stages, and
connecting to the cloud.

There are two means of communication:

1. The first mode of communication: Occurs locally in a local area network (LAN)
between IoT devices and smart gateways via short-range wireless communication
protocols. This communication mode is optional because the sensors can connect directly
to the cloud via the Internet using the TCP / IP protocol.
However, connecting via non-IP protocols consumes less power because the devices
connect to local smart gateways instead of trying to access the main server in the cloud.
So, the most popular short-distance protocols for IoT architecture are:
● Wireless internet access (WiFi)
● Bluetooth and Bluetooth Low Energy (or Bluetooth LE for less powerful devices
that generate less data)
● ZigBee – a universal solution that connects all smart devices
● Near Field Communication (NFC)
● Radio Frequency Identification (RFID)
● Sigfox
● LoRaWAN

If the system needs to cover long distances in the range of miles, it can use Low Power Wide
Area Network (or LPWAN) designed for long-distance wireless data transfer.

2. The second mode of communication: Occurs when the data of things are transferred to
the cloud in cases where there is no smart gateway or in cases of communication between
the smart gateways and the cloud. The network layer establishes a connection between
the local network and the Internet. The basic protocol here is the IPv6 protocol.

4. Gateways: IoT Gateway is a physical or virtual platform that mediates between IoT devices
and the cloud.

There are several main functions of IoT gateways:

● Control the flow of data in the Internet of Things ecosystem. The data flow goes through
the gateway from the devices to the cloud and in the opposite direction.
 ● Ensure the security of the transmission of information in both directions. Also, transmit
commands from the cloud to IoT devices.
● Preprocess data before sending it to the cloud. Gateways filter, aggregate, synthesize, and
aggregate traffic from different devices.
● Save energy from IoT devices as communication over the internet is energy-intensive,
unlike low-energy technologies such as Bluetooth Low Energy ( it is a wireless personal
area network technology designed and marketed by the Bluetooth Special Interest Group
aimed at novel applications in the healthcare, fitness, beacons, security, and home
entertainment industries).
● Reduce response latency to IoT devices. Some devices require a real-time response from
the system.

5. The Cloud: The cloud is a computing resource responsible for storing, analyzing, and
managing data. In other words, it is a group of computers that people access over the Internet to
use their computing power for a particular purpose.

The cloud is where a large pile of raw sensor data is converted into neat little piles of valuable
information. The cloud can be powered by analytics software, visualization tools, AI, and
machine learning for in-depth data analysis and processing. And the most popular cloud
computing providers are Microsoft Azure and AWS IoT.

Surprisingly one of the main advantages of the cloud solution is that it is easily scalable. It is an
essential requirement for building an effective IoT system.

6. Application: When software development companies build software products for the IoT
ecosystem, they will cover all seven components. And will create a system that covers all the
requirements at every level.

Application is used to interact with the users with the Internet of Things ecosystem. This
interaction is only made possible by the graphical user interface, where the users can consult
analyses reports, control the system and manage devices.

The list of technologies used in the development includes:

● Programming languages: C/C++, Python, Ruby, JavaScript

● Development frameworks: Node.Js (Node-Red for rapid prototyping), OT, IoT.js,
Device.js, Eclipse IoT (Kura, SmartHome), AngularJS
● Third-party APIs: Google Assistant, Google Home (Actions on Google), Google Vision,
Apple HomeKit, MI Light, Cortana, Alexa Voice Service, Philips Hue, Android Things
7. Users: Its users are the most important component among the seven components of the
Internet of Things ecosystem.

Here, users have two roles:

They use an IoT ecosystem for their needs. Here, the possibilities offered by the Internet of
Things ecosystem are becoming a valuable database for all types of users. For example, sensors
and IoT applications can become professional healthcare assistants that measure the patient’s
biometry. This will help to make a more accurate diagnosis.
Secondly, the Internet of Things ecosystems should serve people. And meet their needs, and
provide information that assists them in achieving their goals. Moreover, focusing on people’s
needs, the IoT ecosystem was built by and for people. So, the users determine what the IoT
ecosystem will do and won’t.

Users can be:

● People who use IoT gadgets for personal use

● Researchers
● Personnel (doctors, warehouse workers, carriers, engineers, etc.)
● Stakeholders and top managers

Technology Drivers

Its potential to redefine our lives is simply unexplainable. For instance, heart patients
continuously need to visit their cardiologist so they can record their heart rate and perform
related tests. However, with IoT, these patients can quickly provide their physician with hourly
updates even without needing to make a trip to the clinic. They can wear an IoT-connected heart
monitor that allows their physician to assess the information periodically and suggest the right
course of treatment.

For such to happen and for IoT to assume its position as a potent force, it needs support from
various technological developments. What these technologies need to do primarily is not to
necessarily support the IoT, but instead as they advance, they are subsequently going to
massively boost IoT innovation as a whole.

Herein are five different technologies that are driving the development of IoT.
1. Cloud Computing: IoT is set to produce a significant data volume, and as such, you will
need some considerable space to not only process but also store this data, and this is
where Cloud computing comes into play.
Cloud computing is the only technology that boasts the potential to quickly and
faultlessly process such a significant volume of data. For instance, where numerous smart
devices transmit crucial health data to physicians from across the globe, enormous data
volumes are produced. Unsurprisingly, only the cloud can process such masses of data
effectively.
Several significant developments in innovation have rendered cloud computing among
the most potent IoT drivers. Identity management platforms are one such solution to offer
data security.
What’s more, the cloud is gradually becoming more scalable and efficient. In efforts to
leverage these benefits, there are numerous cloud-based platforms under development.
This will ensure easier exchange of data between multiple platforms since IoT is not
exclusively confined to desktops, laptops or even mobile devices.

2. Marketing Automation: IoT has the potential to offer a substantial volume of

information on customers, such as their hobbies, preferences or even what devices they
use. International companies can find such data more than valuable as it can help them
customize and sell their products and services to fit their market. IoT can also effectively
help such firms to generate customer-focused items.
Currently, software developers are working to produce marketing automation software
which can automate marketing procedures such as customer segmentation, integration of
customer data, as well as campaign management. Moreover, there is a massive
investment going towards creating intelligent marketing automation systems which can
utilize the vital information provided by IoT devices.
IoT is well-equipped to provide actionable and vital customer data needed by intelligent
(marketing automation) applications. Both IoT and marketing automation can be defined
as mutually dependent.

3. App Technology Boom: App technology is yet another critical component in the
development of IoT solutions. The recent emergence of app innovation has drastically
been scaling up the rate at which IoT is developing.
Generally, apps allow data exchange between various devices. In essence, they offer
virtually everything that IoT offers. Apps have been vital for the development of IoT, and
their relevance can best be captured through several examples including:
● Parking apps that can check all available parking spaces within a city.
● Noise monitoring apps that identify certain sound decibels in otherwise sensitive
areas like hospitals and schools.
 ● Structural assessment apps, which can monitor the state of materials and
vibrations in both buildings and bridges.

4. IPv6: IoT will facilitate the interconnection of millions of devices. Undoubtedly, all these
devices will need IP addresses. IPv4, which is currently the most popularly used internet
protocol, cannot cope with the subsequent demand surge for IP addresses. Furthermore,
IPv4 has particular concerns that can hinder the progress of IoT, as can other security
threats. IPv4 is not the most secure internet protocol, and considering the volume of
confidential data that will be shared through IoT, it can be a risky option.
But with IPv6, which is IPv4’s newer successor protocol, all these concerns are
adequately addressed. Besides this, it also comes with multiple added benefits including
the fact that to address a device, it offers four times more bits on the internet. With these
extra bits, you can enjoy about 3.4×1038 address combinations. As such, it can
accommodate virtually all space allotment requirements.
Furthermore, IPv6 enables direct connection between hosts over the internet although it
depends on the firewall policies and security of an organization. With IPv6, devices can
remain connected via the same IP address notwithstanding whether it is roaming in
another area. Finally, IPv6 comes with an optional feature known as IPSec for more
secure connection between devices.

5. Sensors: Several factors make IoT outstanding, and one of such is inter-device
interaction notwithstanding their technological affiliations. Sensors which are fitted in
these devices allow them to interact with multiple devices smoothly and effortlessly.
Sensors are among the core components of IoT. For instance, to unlock your main door,
the key’s sensor can open it, which instantly transmits a message for your lights to switch
on and your thermostats to regulate the temperature in the house. All these activities
happen simultaneously.
The science behind IoT sensor design is similar to how microprocessors work. They use
the lithography procedure that ensures that various sensor copies are rolled out
concurrently. However, IoT can only perform a particular task. You can subsequently pair
a microprocessor and a typical IoT sensor and attach it to wireless radios to
communicate.
6. Blockchain: One of the key technologies that are driving the development of IoT
solutions is blockchain. Putting together IoT solutions along with blockchain technology
can be highly beneficial for organizations and their customers as it ensures that data is
reliable, authentic, and genuine. For instance, IoT devices are used by supply chain and
logistics companies for tracking goods, each product/component may be assigned a
digital id which helps in smooth movement and transportation of goods. In addition to
this, with the help of the unique digital id, they can maintain tamper-proof and secure
blockchain repositories maintaining a proper history about the product. Organizations and
 customers can be assured that the products are exactly as described and the information is
not tampered with. It is important for organizations to integrate both the technologies to
gain a competitive advantage in the industry and an IoT development company could
help your organization with this integration.
7. Artificial intelligence: Now that we understand that IoT solutions are focused on
connectivity and sensors, we also understand that these technologies generate a huge
amount of data which would require advanced data analytics. Artificial intelligence
combined with IoT solutions would help businesses analyze the huge amount of data
collected by IoT apps and devices and would help in generating important insights.
Internet of things was a relatively new concept sometime back and there were various
speculations around how it will be implemented across industries but during the outbreak
of the global pandemic, we witnessed how IoT helped businesses across industries to
operate and grow simultaneously. These technologies that we discussed not only are
driving IoT development but also help in expanding the scope of these IoT solutions and
pushing it to greater heights. IoT solutions are picking up pace across the industries and
future advancement in these solutions will play an important role in the coming wave of
digital transformation.

Business Drivers for IoT

The Internet of Things (IoT) has become a transformative force across various industries, driven
by a range of business needs and opportunities. Here are some key business drivers for adopting
IoT:

● Operational Efficiency:
○ IoT enables real-time monitoring, automation, and optimization of processes,
leading to increased operational efficiency.
○ Businesses can streamline workflows, reduce downtime, and improve resource
utilization through the deployment of IoT devices.
● Cost Reduction:
○ By leveraging IoT for predictive maintenance and monitoring, businesses can
reduce maintenance costs and avoid unexpected downtime.
○ Energy efficiency gains and optimized resource utilization contribute to overall
cost savings.
● Data-Driven Decision Making:
○ IoT generates vast amounts of data that can be analyzed to gain valuable insights.
○ Businesses can make informed decisions based on real-time data, improving
strategic planning and operational responsiveness.
● Improved Customer Experience:
 ○ IoT enables the development of smart, connected products and services,
enhancing the overall customer experience.
○ Personalized offerings, remote monitoring, and proactive issue resolution
contribute to increased customer satisfaction.
● Innovative Business Models:
○ IoT facilitates the creation of new revenue streams through innovative business
models.
○ Subscription services, pay-per-use models, and data monetization opportunities
arise from IoT-enabled products and services.
● Supply Chain Optimization:
○ IoT provides visibility and traceability across the supply chain, improving
inventory management, logistics, and demand forecasting.
○ Enhanced supply chain visibility reduces lead times and minimizes disruptions.
● Quality Improvement:
○ IoT sensors and devices can monitor and ensure the quality of products in
real-time.
○ Early detection of defects or deviations from quality standards leads to improved
product quality and reduced waste.
● Compliance and Safety:
○ IoT helps businesses monitor and enforce compliance with safety regulations and
industry standards.
○ Enhanced safety features and real-time monitoring contribute to a safer working
environment.
● Asset Tracking and Management:
○ IoT enables businesses to track and manage their physical assets more effectively.
○ Improved asset visibility, utilization, and maintenance lead to better resource
management.
● Environmental Sustainability:
○ IoT supports sustainable practices by optimizing resource consumption, reducing
waste, and promoting energy efficiency.
○ Businesses can demonstrate environmental responsibility and meet regulatory
requirements.
● Market Differentiation:
○ Adoption of IoT technologies can set businesses apart from competitors,
providing a competitive advantage.
○ Offering smart, connected products can enhance brand perception and attract
tech-savvy consumers.
● Predictive Analytics and Maintenance:
○ IoT enables the implementation of predictive analytics to anticipate equipment
failures and schedule maintenance proactively.
 ○ This helps in reducing downtime, extending equipment life, and optimizing
maintenance costs.
● Remote Monitoring and Management:
○ IoT allows businesses to remotely monitor and manage assets, facilities, and
operations from anywhere in the world.
○ This capability is especially valuable for businesses with distributed operations.
● Partnerships and Ecosystems:
○ IoT fosters collaboration and partnerships between businesses, creating
ecosystems where interconnected devices and services work together for mutual
benefit.
○ Collaborative ecosystems enable innovative solutions and value creation.
● Digital Transformation:
○ IoT is a key enabler of digital transformation, helping businesses evolve and adapt
to the digital age.
○ Embracing IoT is often a fundamental part of broader digital transformation
initiatives.

Ultimately, the specific drivers for adopting IoT will vary across industries and individual
businesses, but the overarching goal is often to leverage connected technologies to drive
efficiency, innovation, and competitive advantage.

Trends And Implications Of IoT

1. Blockchain: One of the latest Internet of Things (IoT) trends is the increased adoption of
blockchain technology. It can help in ensuring data security in IoT devices and enables
thriving interaction between various network nodes and assures safe record keeping, and
that is the reason Blockchain is a great fit for IoT applications as they are also distributed
by nature.
2. Smart Cities: When talking about emerging technologies in the internet of things (IoT),
smart cities always take a leap ahead. Several governmental institutions in the past five
years have begun IoT technology projects that will reshape whole cities.
The government will be capable of implementing different intelligent solutions using
enormous amounts of data for varied issues like citizen safety, energy utilization, traffic
congestion, sustainable development, and more.

3. IoT Powered with 5G Technology: 5G technology is not only a new age of wireless
technology, but it is also a foundation to deliver the full potential of IoT, therefore
transforming technological growth.
No doubt 5G technology is one of the most significant internet of things (IoT) emerging
technologies in the year 2022 because strong connectivity will result in more trustworthy
performing IoT devices. Lower latency, network slicing, real-time data processing,
extensive coverage, and real-time data processing are some things that 5G will bring to
the table.
4. Traffic Management: Modern internet of things (IoT) trends suggest that IoT
technology is relevant to address challenges like traffic and blockage issues globally.
Many organizations these days are giving arrangements and solutions that utilize
IoT-installed technology in traffic systems and vehicles to sketch more smart traffic
networks, presumed to reduce unnecessary traffic and congestion.

5. IoT-Empowered AI Applications: The internet of things (IoT) and artificial intelligence

(AI), these two quite different technologies, can together present commercial solutions. In
order to deliver reliable results, AI algorithms presently need very limited data.
Industries using these two technologies can help automate several processes and reduce
operating costs, reduce downtime, increase productivity and facilitate predictive
maintenance.
6. Digital Twins: Recognized in 2020, a digital twin is a virtual representation that serves
as the real-time digital equivalent of a physical object or process. It can be exercised for
varied things such as diagnosing, optimizing, monitoring, and controlling asset utilization
and performance. The projected combined annual growth rate of the digital twins market
will be several folds by 2025.

7. Voice Activated IoT Devices: Artificial Intelligence-powered virtual assistant – Google

Assistant, virtual assistant AI technology developed by Amazon – Amazon Echo, and
virtual assistant by Apple – Siri, have taken voice-based user interfaces to another level.
With the developing technologies, voice interactions will be used in other applications in
multiple industries in the forthcoming new age that will allow people to give commands,
change settings and receive results from smart devices.
Voice biometry is another exciting development in voice recognition technology. Voice
biometry lets organizations build a digital profile of someone’s voice, after analyzing a
set of specific characteristics such as pitch, intensity, tone, dominant frequencies,
dynamics, etc. Businesses are confident that this method will be more reliable than the
methods that are presently in place.
8. IoT Security: Security is one of the major concerns these days when it comes to the
extensive level of connectivity that we are involved in. The increased intervention of
technology in the lives of people has highlighted the continued threat to unsecured
connected devices/things.
As a consequence, security is an evolving IoT trend and several businesses around the
world are developing IoT security solutions using diverse technologies.

9. Edge Computing: Due to distant work and the COVID-19 pandemic, Edge Computing
is presumed to rise dramatically by the end of the year 2021. This innovation helps new
kinds of business to emerge in the competitive world.
According to a report, end-of-life marketers may keep a sizable proposal in the public
cloud market prompted by the way that notable retailers, like, Dell, IBM, and HPE are
creating solutions for edges with cloud-like features. In a burgeoning workforce, edge
computing grants organizations to assist clients in new areas and back control and
flexibility.
IoT Governance

As IoT usage becomes more widespread, the physical network of IoT devices grows larger and
more complicated to manage, with approximately 13.1 billion IoT devices in operation today
according to Statista. An IoT governance model is an effective way to address data security and
privacy concerns, as well as legal, ethical, and public relations matters. It establishes the policies,
procedures, and practices that define how a company will design, build, deploy, and manage an
IoT system.

IoT governance models also outline how the system will comply with industry, local, and global
data security and privacy laws. These laws define how an IoT device should collect, store,
manage, use, and discard data. The type of data an IoT device collects is another contributing
factor. IoT devices that collect sensitive PII – i.e. full name, home address, driver’s license,
medical record – must manage this data in accordance with data protection laws, such as the
GDPR in EU member states. Failure to do so can result in significant fines.

Should organizations that collect sensitive data be allowed to sell and monetize it? What happens
if a government entity or court order demands that such data be handed over? What security
measures should be in place to protect the IoT network from unauthorized access? IoT
governance models can help answer these questions. Google, for instance, has a policy against
users sending PII to Google when collecting Analytics data.

The Three Main Criteria of an IoT Governance Model

A good IoT governance model should serve as a roadmap to follow, addressing the most pressing
IoT concerns, including data security, data management, privacy, and technological
requirements. The more comprehensive an IoT governance model is, and the more areas of
concern it covers, the more effectively it will overcome challenges and deliver successful results.
Therefore, companies can make more informed decisions, maintain customer confidence, and
avoid paying penalties due to non-compliance.

No two IoT governance models are alike. But there are three areas that any model should cover.
These include Technical Architecture, Data Management, and Information Security. Each area
covers different facets of the IoT governance model. And they each involve the input of different
decision makers and subject matter experts. After all, creating an IoT governance model should
be a collaborative effort, one that involves several brainstorming sessions, consisting of feedback
from people from all walks of life, from programmers to designers to product owners to legal
consultants.

Here is a quick breakdown of the three areas that an IoT governance model should cover:
1. Technical Architecture: Technical architecture is the blueprint to follow to design an
IoT system and related software. There may already be a technical architecture standard
in place before the creation of the IoT governance model. This standard may be used as is
or modified to suit the unique requirements of the IoT governance model. It may need
modifying based on the volume of IoT devices that are added or interacted with, the
technical limitations of the physical IoT device, and the type of data the IoT device will
collect. Given the nature of the subject, matters surrounding technical architecture are
largely established by technical experts such as coders, programmers, and project
managers.

2. Data Management: Data management is one of the most complex and challenging
components of an IoT governance model. That is because there are more than technical
considerations to be made. How a company collects, stores, and uses data is a major legal
and ethical hurdle to overcome. Data scientists, data analysts, and data engineers play a
huge role in outlining the data management components of an IoT governance model. For
example, the data analyst may outline what data should be collected and how it should be
analyzed, while a data engineer will propose the tools to be used for easy data access and
interpretation.

Legal consultants and advisors with experience in data security and privacy may also be
of assistance, making sure the company’s governance model is compliant with industry,
local, and global standards.

3. Information Security: Information security refers to how secure an IoT device is.
Following the recommended manufacturer guidelines is the best way to secure an IoT
device. And those configurations should be reviewed when changes occur, such as when
IoT devices are added or removed from the network. Information security also refers to
the data collection process, including the type and volume of data collected. If an IoT
device collects Personally Identifiable Information (PII), strict security measures should
be in place to protect that data. These include requiring users to provide additional proof
of identity with MFA, and encrypting sensitive PII during transmission from one IoT
device to another device.
Security & Privacy Issues In The Internet Of Things (IoT)

Security in IoT:

Security in IoT primarily focuses on safeguarding the devices, networks, and data from
unauthorized access, breaches, and malicious attacks. It encompasses measures and protocols
aimed at protecting the integrity, availability, and confidentiality of IoT systems. Key aspects of
IoT security include:

● Protection Against Unauthorized Access: Ensuring that only authorized users and
devices can access IoT networks and resources through mechanisms such as
authentication and access control.

● Data Encryption: Employing encryption techniques to secure data both in transit and at
rest, preventing unauthorized interception and access.

● Secure Communication Protocols: Using robust protocols with built-in security features
to transmit data securely between IoT devices and backend systems.

● Regular Updates and Patch Management: Keeping firmware and software up-to-date
with the latest security patches to address vulnerabilities and mitigate risks.

● Intrusion Detection and Prevention: Deploying systems and tools to monitor network
traffic, detect anomalies, and respond to potential security breaches in real-time.

● Physical Security Measures: Implementing physical safeguards to protect IoT devices

from tampering, theft, or unauthorized access.

Privacy in IoT

Privacy in IoT revolves around protecting the personal data and information generated, collected,
and processed by IoT devices from unauthorized disclosure, misuse, or exploitation. It
encompasses measures and practices aimed at preserving the confidentiality, control, and
transparency of user data. Key aspects of IoT privacy include:

● User Consent and Control: Providing users with transparency and control over the
collection, use, and sharing of their personal data by IoT devices, including obtaining
explicit consent for data processing activities.
 ● Data Minimization: Collecting and retaining only the minimum amount of data
necessary for the intended purpose, reducing the risk of exposure and unauthorized
access.

● Anonymization and Pseudonymization: Applying techniques to de-identify or mask

personally identifiable information (PII) in collected data to protect user privacy while
still enabling analysis and processing.

● Secure Data Handling: Implementing robust data storage, processing, and transmission
practices to protect sensitive information from unauthorized access, interception, or
misuse.

● Privacy by Design: Integrating privacy considerations into the design, development, and
deployment of IoT systems, ensuring that privacy features and safeguards are built-in
from the outset.

● Compliance with Regulations: Adhering to applicable privacy laws, regulations, and

standards governing the collection, use, and protection of personal data in IoT
deployments, such as GDPR, CCPA, or HIPAA.

In summary, while security focuses on protecting IoT systems from external threats and attacks,
privacy concerns center around safeguarding user data and preserving individuals' rights to
control their personal information. Both security and privacy are critical aspects of responsible
and ethical IoT deployments, ensuring trust, transparency, and compliance with regulatory
requirements.