Learning-based VANET Communication and Security Techniques

• Main Authors: Xiao, Liang (Author, http://id.loc.gov/vocabulary/relators/aut), Zhuang, Weihua (http://id.loc.gov/vocabulary/relators/aut), Zhou, Sheng (http://id.loc.gov/vocabulary/relators/aut), Chen, Cailian (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Wireless Networks,
• Subjects: Wireless communication systems.; Mobile communication systems.; Data protection.; Artificial intelligence.; Electrical engineering.; Wireless and Mobile Communication.; Security.; Artificial Intelligence.; Communications Engineering, Networks.

This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as security, and network selection. Machine learning based methods are applied to solve these issues. This book also includes four rigorously refereed chapters from prominent international researchers working i...

Table of Contents:

• 1 Introduction
• 2 Learning-based Rogue Edge Detection in VANETs with Ambient Radio Signals
• 3 Learning While Offloading: Multi-armed Bandit Based Task Offloading in Vehicular Edge Computing Networks
• 4 Intelligent Network Access System for Vehicular Real-time Service Provisioning
• 5 UAV Relay in VANETs Against Smart Jamming with Reinforcement Learning
• 6 Conclusion and Future Work.