Reprint
Vehicular Sensor Networks
Applications, Advances and Challenges
Edited by
August 2020
238 pages
- ISBN978-3-03936-762-7 (Hardback)
- ISBN978-3-03936-763-4 (PDF)
This book is a reprint of the Special Issue Vehicular Sensor Networks: Applications, Advances and Challenges that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
barrier control; sensors platform; vehicle detection; license plate recognition; raspberry-pi; features extraction; machine learning algorithms; connected vehicles, internet of vehicles; security; IoT; blockchain; vehicular ad-hoc network; wireless sensor networks; wake-up radio; medium access control protocol; receiver-initiated MAC protocol; traffic adaptation; software-defined vehicular network; vehicle-to-everything (V2X); modeling and implementation; software defined network; information-centric networking (ICN); client-cache (CC); video on demand (VoD); vehicular sensor network (VSN); smart city; delay tolerant network; infrastructure offloading; opportunistic network; vehicular mobility; energy consumption; carbon emission; V2V communication; message contents plausibility; power control; vehicle edge computing; 5G cellular networks; blockchain; multi-receiver signcryption; security; privacy; PSO; genetic algorithm; ITS; UAV; simulation; dynamic positioning; 3D placement; vehicular communications; cross-validation; anti-collaborative attack; resource-saving; trust computing; wireless sensor networks; Caching; Named Data Networking; Information Centric Networking; Vehicular Ad Hoc Networks; 5G; D2D communication; vehicle-to-vehicle communication; mode selection; power control; vehicular social network; vehicular sensor networks (VSN); vehicular ad-hoc networks (VANET); security; privacy and trust; cyber security; multimedia and cellular communication; emerging IoT applications in VANET and VSN; blockchain within VANET and VSN