Vehicular Sensor Networks Applications, Advances and Challenges

The recent years have witnessed tremendous growth in connected vehicles due to major interest in vehicular ad hoc networks (VANET) technology from both the research and industrial communities. VANET involves the generation of data from onboard sensors and its dissemination in other vehicles via vehi...

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Bibliographic Details
Other Authors: Kurugollu, Fatih (Editor), Ahmed, Syed Hassan (Editor), Hussain, Rasheed (Editor), Ahmad, Farhan (Editor), Abdelaziz Kerrache, Chaker (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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DOAB: description of the publication
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100 1 |a Kurugollu, Fatih  |4 edt 
700 1 |a Ahmed, Syed Hassan  |4 edt 
700 1 |a Hussain, Rasheed  |4 edt 
700 1 |a Ahmad, Farhan  |4 edt 
700 1 |a Abdelaziz Kerrache, Chaker  |4 edt 
700 1 |a Kurugollu, Fatih  |4 oth 
700 1 |a Ahmed, Syed Hassan  |4 oth 
700 1 |a Hussain, Rasheed  |4 oth 
700 1 |a Ahmad, Farhan  |4 oth 
700 1 |a Abdelaziz Kerrache, Chaker  |4 oth 
245 1 0 |a Vehicular Sensor Networks  |b Applications, Advances and Challenges 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (238 p.) 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a The recent years have witnessed tremendous growth in connected vehicles due to major interest in vehicular ad hoc networks (VANET) technology from both the research and industrial communities. VANET involves the generation of data from onboard sensors and its dissemination in other vehicles via vehicle-to-everything (V2X) communication, thus resulting in numerous applications such as steep-curve warnings. However, to increase the scope of applications, VANET has to integrate various technologies including sensor networks, which results in a new paradigm commonly referred to as vehicular sensor networks (VSN). Unlike traditional sensor networks, every node (vehicle) in VSN is equipped with various sensing (distance sensors, GPS, and cameras), storage, and communication capabilities, which can provide a wide range of applications including environmental surveillance and traffic monitoring. VSN has the potential to improve transportation technology and the transportation environment due to its unlimited power supply and resulting minimum energy constraints. However, VSN faces numerous challenges in terms of its design, implementation, network scalability, reliability, and deployment over large-scale networks, which need to be addressed before it is realized. This book comprises 12 outstanding research works related to vehicular sensor networks, addressing various aspects such as security, routing, SDN, and NDN. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Information technology industries  |2 bicssc 
653 |a barrier control 
653 |a sensors platform 
653 |a vehicle detection 
653 |a license plate recognition 
653 |a raspberry-pi 
653 |a features extraction 
653 |a machine learning algorithms 
653 |a connected vehicles, internet of vehicles 
653 |a security 
653 |a IoT 
653 |a blockchain 
653 |a vehicular ad-hoc network 
653 |a wireless sensor networks 
653 |a wake-up radio 
653 |a medium access control protocol 
653 |a receiver-initiated MAC protocol 
653 |a traffic adaptation 
653 |a software-defined vehicular network 
653 |a vehicle-to-everything (V2X) 
653 |a modeling and implementation 
653 |a software defined network 
653 |a information-centric networking (ICN) 
653 |a client-cache (CC) 
653 |a video on demand (VoD) 
653 |a vehicular sensor network (VSN) 
653 |a smart city 
653 |a delay tolerant network 
653 |a infrastructure offloading 
653 |a opportunistic network 
653 |a vehicular mobility 
653 |a energy consumption 
653 |a carbon emission 
653 |a V2V communication 
653 |a message contents plausibility 
653 |a power control 
653 |a vehicle edge computing 
653 |a 5G cellular networks 
653 |a multi-receiver signcryption 
653 |a privacy 
653 |a PSO 
653 |a genetic algorithm 
653 |a ITS 
653 |a UAV 
653 |a simulation 
653 |a dynamic positioning 
653 |a 3D placement 
653 |a vehicular communications 
653 |a cross-validation 
653 |a anti-collaborative attack 
653 |a resource-saving 
653 |a trust computing 
653 |a Caching 
653 |a Named Data Networking 
653 |a Information Centric Networking 
653 |a Vehicular Ad Hoc Networks 
653 |a 5G 
653 |a D2D communication 
653 |a vehicle-to-vehicle communication 
653 |a mode selection 
653 |a vehicular social network 
653 |a vehicular sensor networks (VSN) 
653 |a vehicular ad-hoc networks (VANET) 
653 |a privacy and trust 
653 |a cyber security 
653 |a multimedia and cellular communication 
653 |a emerging IoT applications in VANET and VSN 
653 |a blockchain within VANET and VSN 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/2755  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/68987  |7 0  |z DOAB: description of the publication