7.
Scalability: IoT systems are made to allow for easy scaling up and down of the number of devices,
sensors, or computers as required. An IoT system should be flexible enough to handle workload during
periods of high demand and resume regular operation during periods of low demand. 8. Sensing: IoT
devices collect and analyze data about their environment, including temperature, light, sound,
acceleration, and pressure, before making a decision. As a result, sensors help automate processes by
acquiring data and carrying out tasks that would often be handled by humans. The base of IoT operation
is made up of the raw data that is gathered and evaluated. For instance, sensors like radar sensors and
optical sensors might gather information in an autonomous door. It opens the door on its own if it
senses someone approaching. Some sensors used in IoT include humidity sensors, temperature sensors,
accelerometers, gyroscopes, motion sensors, image sensors, level sensors, and proximity sensors. 9.
Analysing: We are aware that IoT uses sensors to collect raw data, but why does IoT need data? What
uses does the Internet of Things make of all that unprocessed information? Data is worthless in and of
itself. Unless data is actively processed to provide insightful conclusions, it is meaningless and useless.
IoT gathers unprocessed data in order to make sense of it. Because raw data can be highly helpful if
processed appropriately, it is vital to analyze it in terms of structure, correlation, and usability. For
instance, the robotic door stated earlier should be able to discriminate between a person and an animal
after analyzing sensor data. 10. Artificial Intelligence: The Internet of Things (IoT) gains significantly
greater use when integrated with AI. Your smart refrigerator, for instance, can remind you to stop at the
store on the way home if you run out of groceries. Thanks to artificial intelligence, things like this are
now feasible. IoT devices collect raw environmental data and transform it into something interesting
and helpful. In order to help them comprehend and function better in their settings, IoT devices and
systems are also educated using a variety of machine learning models. 10. Smaller Device: The size of
tools and machinery (such semiconductor chips and sensors) is getting smaller. Precision and
performance are provided by these little devices in the Internet of Things. It's incredible to believe that
such tiny things can accomplish so much and raise our standard of living (for example, small sensors can
tell us the quality of air in that area, protecting us from pollution). 11. Dynamic Nature: IoT systems
must be dynamic in that they adapt to changes in their surroundings in order to be useful for business.
Let's use an example to demonstrate this. A smart air © 2022, IJSRCSE All Rights Reserved Vol.10,
Issue.6, Dec 2022 conditioner should be able to adjust the room's temperature based on the weather
outside using the temperature sensor data. Additionally, it must be able to modify the humidity inside
the space in reaction to variations in the humidity outside. 12. Active Engagement IoT products and
gadgets are connected to cross-domain technologies like blockchain, AI, cloud computing, and so on. To
gather and alter data for commercial objectives, various goods and technology must work actively
together. Raw data is incredibly powerful and can greatly enhance business decisions. Because of this,
active interaction between different IoT products and these technologies is crucial. 13. Integration IoT
combines numerous cross-domain technologies, including cloud computing, AI, big data, and deep
learning, to give users a delightful experience. The internet of things has changed to become the
internet of everything. It is no longer only the internet of things. Our quality of life is greatly enhanced
by a complete ecosystem of integrated gadgets. 14. Automated Automation is a feature of every
technology. Automation is the core tenet of the Internet of Things. IoT was developed to automate tasks
and improve people's lives and enterprises; for instance, an IoT farming system automates watering
while simultaneously reducing water wastage.15. Security
