عنوان

Learning-based VANET communication and security techniques /

(Number (ISBN

3030017311

(Number (ISBN

303001732X

(Number (ISBN

3030131920

(Number (ISBN

9783030017316

(Number (ISBN

9783030017323

(Number (ISBN

9783030131920

Erroneous ISBN

3030017303

Erroneous ISBN

9783030017309

Title Proper

Learning-based VANET communication and security techniques /

General Material Designation

[Book]

First Statement of Responsibility

Liang Xiao, Weihua Zhuang, Sheng Zhou, Cailian Chen.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Series Title

Wireless networks

Text of Note

Includes bibliographical references.

Text of Note

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.

0

Text of Note

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 communication challenges in VANETs. Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle communications and vehicle-to-infrastructure communications to improve the transmission security, help build unmanned-driving, and support booming applications of onboard units (OBUs). The high mobility of OBUs and the large-scale dynamic network with fixed roadside units (RSUs) make the VANET vulnerable to jamming. The anti-jamming communication of VANETs can be significantly improved by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-to-interference-plus-noise-ratio of the OBU signals, and thus reduce the bit-error-rate of the OBU message, especially if the serving RSUs are blocked by jammers and/or interference, which is also demonstrated in this book. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030017316

Title

Learning-based VANET communication and security techniques.

International Standard Book Number

9783030017309

Ad hoc networks (Computer networks)

Computer networks-- Security measures.

Computer networks.

Machine learning.

Mobile communication systems.

Ad hoc networks (Computer networks)

Artificial intelligence.

Communications engineering-- telecommunications.

Computer networks-- Security measures.

Computer networks.

Computer security.

COMPUTERS-- Computer Literacy.

COMPUTERS-- Computer Science.

COMPUTERS-- Data Processing.

COMPUTERS-- Hardware-- General.

COMPUTERS-- Information Technology.

COMPUTERS-- Machine Theory.

COMPUTERS-- Reference.

Machine learning.

Mobile communication systems.

WAP (wireless) technology.

COM-- 013000

COM-- 014000

COM-- 018000

COM-- 032000

COM-- 037000

COM-- 052000

COM-- 067000

TJKW

TJKW

Number

Edition

Class number

Book number

Xiao, Liang,1980-

Chen, Cailian

Zhou, Sheng

Zhuang, Weihua

Date of Transaction

20200823073359.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y