國立高雄大學圖資館 |

Language: English

Back

Mobility modeling for vehicular comm...

Abboud, Khadige.

Mobility modeling for vehicular communication networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mobility modeling for vehicular communication networksby Khadige Abboud, Weihua Zhuang.
Author:	Abboud, Khadige.
other author:	Zhuang, Weihua.
Published:	Cham :Springer International Publishing :2015.
Description:	xix, 63 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Vehicular ad hoc networks (Computer networks)Mathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-25507-1
ISBN:	9783319255071$q(electronic bk.)

Mobility modeling for vehicular communication networks
Abboud, Khadige.

Mobility modeling for vehicular communication networks[electronic resource] /by Khadige Abboud, Weihua Zhuang. - Cham :Springer International Publishing :2015. - xix, 63 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction.-System model -- Microscopic vehicle mobility model -- Spatio-temporal network topology analysis -- Conclusions and future work.

This brief presents a stochastic microscopic mobility model that describes the temporal changes of intervehicle distances. The model is consistent with simulated and empirical vehicle traffic patterns. Using stochastic lumpability methods, the proposed mobility model is mapped into an aggregated mobility model that describes the mobility of a group of vehicles. In addition, the proposed mobility model is used to analyze the spatiotemporal VANET topology. Two metrics are proposed to characterize the impact of vehicle mobility on VANET topology: the time period between successive changes in communication link state (connection and disconnection) and the time period between successive changes in node's one-hop neighborhood. Using the proposed lumped group mobility model, the two VANET topology metrics are probabilistically characterized for different vehicular traffic flow conditions. Furthermore, the limiting behavior of a system of two-hop vehicles and the overlap-state of their coverage ranges is modeled, and the steady-state number of common vehicle neighbors between the two vehicles is approximately derived. The proposed mobility model will facilitate mathematical analysis in VANETs. The spatiotemporal VANET topology analysis provides a useful tool for the development of mobility-aware vehicular network protocols. Mobility Modeling for Vehicular Communication Networks is designed for researchers, developers, and professionals involved with vehicular communications. It is also suitable for advanced-level students interested in communications, transport infrastructure, and infotainment applications.

ISBN: 9783319255071$q(electronic bk.)

Standard No.: 10.1007/978-3-319-25507-1doiSubjects--Topical Terms:

732884
Vehicular ad hoc networks (Computer networks)
--Mathematical models.

LC Class. No.: TE228.37

Dewey Class. No.: 388.312

Mobility modeling for vehicular communication networks
LDR:02803nmm a2200325 a 4500 001 477866
003 DE-He213
005 20160527092726.0
006 m d
007 cr nn 008maaau
008 160614s2015 gw s 0 eng d
020 $a 9783319255071$q(electronic bk.)
020 $a 9783319255057$q(paper)
024 7 $a 10.1007/978-3-319-25507-1 $2 doi
035 $a 978-3-319-25507-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TE228.37
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
082 0 4 $a 388.312 $2 23
090 $a TE228.37 $b .A134 2015
100 1 $a Abboud, Khadige. $3 732883
245 1 0 $a Mobility modeling for vehicular communication networks $h [electronic resource] / $c by Khadige Abboud, Weihua Zhuang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xix, 63 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction.-System model -- Microscopic vehicle mobility model -- Spatio-temporal network topology analysis -- Conclusions and future work.
520 $a This brief presents a stochastic microscopic mobility model that describes the temporal changes of intervehicle distances. The model is consistent with simulated and empirical vehicle traffic patterns. Using stochastic lumpability methods, the proposed mobility model is mapped into an aggregated mobility model that describes the mobility of a group of vehicles. In addition, the proposed mobility model is used to analyze the spatiotemporal VANET topology. Two metrics are proposed to characterize the impact of vehicle mobility on VANET topology: the time period between successive changes in communication link state (connection and disconnection) and the time period between successive changes in node's one-hop neighborhood. Using the proposed lumped group mobility model, the two VANET topology metrics are probabilistically characterized for different vehicular traffic flow conditions. Furthermore, the limiting behavior of a system of two-hop vehicles and the overlap-state of their coverage ranges is modeled, and the steady-state number of common vehicle neighbors between the two vehicles is approximately derived. The proposed mobility model will facilitate mathematical analysis in VANETs. The spatiotemporal VANET topology analysis provides a useful tool for the development of mobility-aware vehicular network protocols. Mobility Modeling for Vehicular Communication Networks is designed for researchers, developers, and professionals involved with vehicular communications. It is also suitable for advanced-level students interested in communications, transport infrastructure, and infotainment applications.
650 0 $a Vehicular ad hoc networks (Computer networks) $x Mathematical models. $3 732884
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Zhuang, Weihua. $3 247019
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25507-1
950 $a Computer Science (Springer-11645)