0% found this document useful (0 votes)
45 views2 pages

Vehicular Data Cloud Platform Comparison

This document outlines parameters for comparing papers on vehicular data cloud platforms, including the goal of proposed works, types of vehicular networks and resources, mobility patterns, communication technologies and devices, VANET applications, data storage mechanisms, cloud support characteristics, security and privacy requirements, simulation models and environments, and results. Papers can be classified into categories like data security-based approaches and dissemination-based or handover-based solutions for vehicle-based distributed data storage services. A taxonomy diagram can be drawn based on these categories.

Uploaded by

Pulin Chaudhari
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
45 views2 pages

Vehicular Data Cloud Platform Comparison

This document outlines parameters for comparing papers on vehicular data cloud platforms, including the goal of proposed works, types of vehicular networks and resources, mobility patterns, communication technologies and devices, VANET applications, data storage mechanisms, cloud support characteristics, security and privacy requirements, simulation models and environments, and results. Papers can be classified into categories like data security-based approaches and dissemination-based or handover-based solutions for vehicle-based distributed data storage services. A taxonomy diagram can be drawn based on these categories.

Uploaded by

Pulin Chaudhari
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
You are on page 1/ 2

Vehicular Data Cloud Platform – comparison parameters

Compare the papers in terms of following parameters. Few parameters in particular cate=giry may
not be required, you can remove it.

Features of VCC based data Parameter Remark


collection
Goal of the proposed work What it achieved
Vehicular network IoT based Yes/no
driving routes of vehicles predicted or obtained using
on-line navigation
Resources dynamic/static
type and availability of
resources - Inside-Vehicle-
Smart Phone, Sensors,
Actuators, GPS Device
Storage Unit, Computational
Unit, Radar, Camcorder, GIS
type and availability of
resources - Outside-Vehicle
Road Infrastructure, Sensors
Street Lamps, Cameras, Traffic
Lights, Digital Signage
the mobility pattern of
vehicular nodes.
clustered movement
directional behaviour
remote data storage support
Data processing/aggregation
Communication Services Vehicle-to-Roadside Unit
Communication (V2R),
Vehicular-to-Infrastructure
Communication (V2I),
Vehicular-to-Vehicular
Communication (V2V)
Communication Technologies 5G 3G/4G Cellular VANET WSN
Satellite/GPS
Communication Devices Access Point, base station,
Router ,Switch
VANET Application Monitor traffic, accident
notification etc
Data storage Collaborative/ Distributed internal usage mode, close-in
usage mode and
remote usage mode.
Mechanism
/algorithm/technique used
Web caching/proxy methods
Cloud support Yes/no
Public or Private
Type Dynamic or Static based on
mobility
Characteristics Network as a Service (NAAS) or
Communication as a Service
(CAAS).
Data centric or Address centric
based on the content
management criteria
Centralized or Distributed or
Hybrid based on
integration with backbone
networks.
Virtualization support for
Micro-datacenter
SDN with data flow rules-
based support
Resource sharing support
datacenter Data storage has
flexible resize
Security and Privacy attack vector/ security network volatility, liability and
Requirements vulnerabilities privacy, delay sensitive
applications, network scale,
hetegorineity, infrastructure-
less, wireless link, and multi-
hop connection, Controller
area Network (CAN) bus
Simulation model Data rate
environment Simulator and some
parameters
Result compared with the
recent literature
Result parameters group size/number of VCs
computational complexity and
communication overhead and
high utility in terms of
accuracy.

Category for classification of the papers.

approaches for vehicle-based distributed data storage services can be classified into two
categories: (i) dissemination-based and (ii) handover-based solutions (III) data security based

(III) data security based – authentication, confidentiality, integrity, privacy preserving

vehicle-based distributed data storage services – security based and non-securitybased

data security based – authentication, confidentiality, integrity, privacy preserving

non-security based - (i) dissemination-based and (ii) handover-based solutions

Draw the taxonomy diagram based on the categorization.

You might also like