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Author:

Bao, Xu (Bao, Xu.) | Li, Haijian (Li, Haijian.) | Zhao, Guoqiang (Zhao, Guoqiang.) | Chang, Lv (Chang, Lv.) | Zhou, Jun (Zhou, Jun.) | Li, Yun (Li, Yun.)

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EI Scopus SCIE

Abstract:

To improve the efficiency of V2V, Efficient Clustering V2V Routing Based on PSO (Particle Swarm Optimization) in VANETs (CRBP) is proposed in this paper. First, vehicle nodes with identical moving directions are defined and the cluster heads are selected. Second, for the required routing optimization, the route particle and its velocity coding rules, iteration rules, and fitness function are designed. Thirdly, the methods that can signally improve the routing efficiency in the cluster and among clusters are proposed. Finally, SUMO and NS3 are used to simulate and analyze the performance of the CRBP. The simulation results indicate that the node numbers, node communication radius, and maximum hops between the cluster head and any normal node in its cluster have a major influence on the performance of CRBP; relative to CBVRP and QoS-OLSR, CRBP has a 20% increase in packet delivery ratio (PDR) and a 47% decrease in delay at best. (C) 2019 Elsevier Ltd. All rights reserved.

Keyword:

Clustering VANETs PSO Routing V2V

Author Community:

  • [ 1 ] [Bao, Xu]Huaiyin Inst Technol, Key Lab Traff & Transportat Secur Jiangsu Prov, Huaian 223003, Peoples R China
  • [ 2 ] [Chang, Lv]Huaiyin Inst Technol, Key Lab Traff & Transportat Secur Jiangsu Prov, Huaian 223003, Peoples R China
  • [ 3 ] [Zhou, Jun]Huaiyin Inst Technol, Key Lab Traff & Transportat Secur Jiangsu Prov, Huaian 223003, Peoples R China
  • [ 4 ] [Li, Yun]Huaiyin Inst Technol, Key Lab Traff & Transportat Secur Jiangsu Prov, Huaian 223003, Peoples R China
  • [ 5 ] [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Zhao, Guoqiang]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

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Source :

MEASUREMENT

ISSN: 0263-2241

Year: 2020

Volume: 152

5 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:115

Cited Count:

WoS CC Cited Count: 55

SCOPUS Cited Count: 83

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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