國立虎尾科技大學 |

Internet Access in Vehicular Networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Internet Access in Vehicular Networks/ by Wenchao Xu, Haibo Zhou, Xuemin (Sherman) Shen.
作者:	Xu, Wenchao.
其他作者:	Shen, Xuemin (Sherman).
面頁冊數:	XII, 165 p. 76 illus., 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Automotive Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-88991-3
ISBN:	9783030889913

Internet Access in Vehicular Networks
Xu, Wenchao.

Internet Access in Vehicular Networks[electronic resource] /by Wenchao Xu, Haibo Zhou, Xuemin (Sherman) Shen. - 1st ed. 2021. - XII, 165 p. 76 illus., 67 illus. in color.online resource.

Overview of Internet Access of Vehicular Networks -- Internet Access Modeling of Vehicular Internet Access -- V2X Interworking via Vehicular Internet Access -- Intelligent Link Management for Vehicular Internet Access -- Intelligent Networking enabled Vehicular Distributed Learning -- Conclusion and Future Works.

This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles. To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications. In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme. This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models. Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book. .

ISBN: 9783030889913

Standard No.: 10.1007/978-3-030-88991-3doiSubjects--Topical Terms:

683772
Automotive Engineering.

LC Class. No.: TK5105.5-5105.9

Dewey Class. No.: 004.6

Internet Access in Vehicular Networks
LDR:03265nam a22003975i 4500 001 1057228
003 DE-He213
005 20211118165512.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030889913 $9 978-3-030-88991-3
024 7 $a 10.1007/978-3-030-88991-3 $2 doi
035 $a 978-3-030-88991-3
050 4 $a TK5105.5-5105.9
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004.6 $2 23
100 1 $a Xu, Wenchao. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1362654
245 1 0 $a Internet Access in Vehicular Networks $h [electronic resource] / $c by Wenchao Xu, Haibo Zhou, Xuemin (Sherman) Shen.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 165 p. 76 illus., 67 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Overview of Internet Access of Vehicular Networks -- Internet Access Modeling of Vehicular Internet Access -- V2X Interworking via Vehicular Internet Access -- Intelligent Link Management for Vehicular Internet Access -- Intelligent Networking enabled Vehicular Distributed Learning -- Conclusion and Future Works.
520 $a This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles. To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications. In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme. This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models. Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book. .
650 2 4 $a Automotive Engineering. $3 683772
650 2 4 $a Special Purpose and Application-Based Systems. $3 669833
650 2 4 $a Wireless and Mobile Communication. $3 1207058
650 1 4 $a Computer Communication Networks. $3 669310
650 0 $a Automotive engineering. $3 1104081
650 0 $a Special purpose computers. $3 1204562
650 0 $a Mobile communication systems. $3 562917
650 0 $a Wireless communication systems. $3 562740
650 0 $a Computer communication systems. $3 1115394
700 1 $a Shen, Xuemin (Sherman). $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1024151
700 1 $a Zhou, Haibo. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1067202
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030889906
776 0 8 $i Printed edition: $z 9783030889920
776 0 8 $i Printed edition: $z 9783030889937
856 4 0 $u https://doi.org/10.1007/978-3-030-88991-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)