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作者:

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

摘要:

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.

关键词:

Clustering VANETs PSO Routing V2V

作者机构:

  • [ 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

通讯作者信息:

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

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来源 :

MEASUREMENT

ISSN: 0263-2241

年份: 2020

卷: 152

5 . 6 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:115

被引次数:

WoS核心集被引频次: 55

SCOPUS被引频次: 83

ESI高被引论文在榜: 0 展开所有

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