Screen LibraryLearning-based VANET communication and security techniques /
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...
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| Main Authors: | |
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| Group Author: | ; ; |
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
Wireless networks,
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| Subjects: | |
| Summary: |
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 in this subject area. The material serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues. This book will also help readers understand how to use machine learning to address the security and communicati |
| Carrier Form: | ix, 134 pages : illustrations (some color) ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783030017309 3030017303 9783030017316 3030017311 |
| Index Number: | TK5105 |
| CLC: | TP393.08 |
| Call Number: | TP393.08/X6-1 |
| 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. |