Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Learning-based VANET communication a...
~
SpringerLink (Online service)
Learning-based VANET communication and security techniques
Record Type:
Electronic resources : Monograph/item
Title/Author:
Learning-based VANET communication and security techniquesby Liang Xiao ... [et al.].
other author:
Xiao, Liang.
Published:
Cham :Springer International Publishing :2019.
Description:
ix, 134 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computer networks.
Online resource:
https://doi.org/10.1007/978-3-030-01731-6
ISBN:
9783030017316$q(electronic bk.)
Learning-based VANET communication and security techniques
Learning-based VANET communication and security techniques
[electronic resource] /by Liang Xiao ... [et al.]. - Cham :Springer International Publishing :2019. - ix, 134 p. :ill., digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..
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.
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.
ISBN: 9783030017316$q(electronic bk.)
Standard No.: 10.1007/978-3-030-01731-6doiSubjects--Topical Terms:
181923
Computer networks.
LC Class. No.: TK5105.77
Dewey Class. No.: 004.68
Learning-based VANET communication and security techniques
LDR
:02983nmm a2200337 a 4500
001
553226
003
DE-He213
005
20190530154038.0
006
m d
007
cr nn 008maaau
008
191111s2019 gw s 0 eng d
020
$a
9783030017316$q(electronic bk.)
020
$a
9783030017309$q(paper)
024
7
$a
10.1007/978-3-030-01731-6
$2
doi
035
$a
978-3-030-01731-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK5105.77
072
7
$a
TJKW
$2
bicssc
072
7
$a
TEC061000
$2
bisacsh
072
7
$a
TJKW
$2
thema
082
0 4
$a
004.68
$2
23
090
$a
TK5105.77
$b
.L438 2019
245
0 0
$a
Learning-based VANET communication and security techniques
$h
[electronic resource] /
$c
by Liang Xiao ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
ix, 134 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Wireless networks,
$x
2366-1186
505
0
$a
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.
520
$a
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.
650
0
$a
Computer networks.
$3
181923
650
0
$a
Mobile communication systems.
$3
182488
650
0
$a
Ad hoc networks (Computer networks)
$3
309678
650
0
$a
Computer networks
$x
Security measures.
$3
185597
650
0
$a
Machine learning.
$3
188639
650
1 4
$a
Wireless and Mobile Communication.
$3
820685
650
2 4
$a
Security.
$3
760527
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
650
2 4
$a
Communications Engineering, Networks.
$3
273745
700
1
$a
Xiao, Liang.
$3
731191
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Wireless networks.
$3
731203
856
4 0
$u
https://doi.org/10.1007/978-3-030-01731-6
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000166342
電子館藏
1圖書
電子書
EB TK5105.77 L438 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-01731-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login