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
Vehicular Sensor Networks : Applications, Advances and Challenges
2020
1 Online-Ressource (238 p.)
Book
Electronic Resource
English
vehicular social network , sensors platform , delay tolerant network , Information Centric Networking , information-centric networking (ICN) , features extraction , Vehicular Ad Hoc Networks , 3D placement , license plate recognition , traffic adaptation , blockchain within VANET and VSN , client-cache (CC) , barrier control , vehicular sensor networks (VSN) , privacy and trust , vehicle-to-vehicle communication , genetic algorithm , security , V2V communication , smart city , Information technology industries , vehicular ad-hoc network , blockchain , software defined network , infrastructure offloading , resource-saving , vehicle-to-everything (V2X) , 5G , IoT , opportunistic network , trust computing , medium access control protocol , ITS , UAV , power control , cross-validation , vehicular ad-hoc networks (VANET) , machine learning algorithms , video on demand (VoD) , Caching , modeling and implementation , energy consumption , Named Data Networking , vehicle edge computing , multimedia and cellular communication , raspberry-pi , vehicular sensor network (VSN) , anti-collaborative attack , message contents plausibility , simulation , PSO , vehicular communications , wireless sensor networks , wake-up radio , receiver-initiated MAC protocol , emerging IoT applications in VANET and VSN , carbon emission , multi-receiver signcryption , vehicular mobility , connected vehicles, internet of vehicles , mode selection , cyber security , dynamic positioning , D2D communication , software-defined vehicular network , 5G cellular networks , vehicle detection , privacy
Vehicular Sensor Networks : Applications, Advances and Challenges
GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2020
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