电信科学 ›› 2017, Vol. 33 ›› Issue (4): 87-93.doi: 10.11959/j.issn.1000-0801.2017080

• 研究与开发 • 上一篇    下一篇

车载自组织网络中基于连接时长的RSU部署方案

丁正超1,魏振春1,2,冯琳1   

  1. 1 合肥工业大学计算机与信息学院,安徽 合肥 230009
    2 安全关键工业测控技术教育部工程研究中心,安徽 合肥 230009
  • 修回日期:2017-03-22 出版日期:2017-04-01 发布日期:2017-04-26
  • 作者简介:丁正超(1992-),男,合肥工业大学计算机与信息学院硕士生,主要研究方向为物联网、车联网。|魏振春(1978-),男,合肥工业大学计算机与信息学院副教授、硕士生导师,主要研究方向为物联网、嵌入式系统、分布式控制和离散事件系统。|冯琳(1979-),女,合肥工业大学计算机与信息学院副教授、硕士生导师,主要研究方向为计算机网络、无线通信。
  • 基金资助:
    国家自然科学基金资助项目(61502142);国家国际科技合作专项基金资助项目(2014DFB10060)

Deployment scheme of RSU based on connection time in VANET

Zhengchao DING1,Zhenchun WEI1,2,Lin FENG1   

  1. 1 School of Computer and Information,Hefei University of Technology,Hefei 230009,China
    2 Engineering Research Center of Safety Critical Industry Measure and Control Technology of Ministry of Education,Hefei 230009,China
  • Revised:2017-03-22 Online:2017-04-01 Published:2017-04-26
  • Supported by:
    The National Natural Science Foundation of China(61502142);International S&T Cooperation Program of China(2014DFB10060)

摘要:

针对目前城市场景下车载自组织网络中的 RSU 部署问题,提出了一种基于连接时长的 RSU 部署方案。该方案在RSU数量受限的情况下,以保证通信连接时长为前提,以最大化服务车辆数目为目的,将部署问题建模成最大覆盖问题,设计了二进制粒子群算法进行求解,并结合真实的北京市路网地图和出租车 GPS数据进行仿真实验。仿真结果表明,该算法是收敛、稳定及可行的,相比贪心算法,该算法求得的部署方案能为更多的车辆提供持续性的网络服务。

关键词: 车载自组织网络, 路边基础设施部署, 连接时长, 二进制粒子群算法

Abstract:

For the roadside unit (RSU) placement problem in vehicular Ad Hoc network (VANET),the deployment scheme of RSU based on connection time was proposed.The scheme find the optimal positions of RSU for maximizing the number of vehicles while ensuring a certain level of connection time under the limited number of RSU.The problem was modeled as a maximum coverage problem,and a binary particle swarm algorithm was designed to solve it.The simulation experiment was carried out with the real Beijing road network map and taxi GPS data.The simulation results show that the algorithm is convergent,stable and feasible.Compared with the greedy algorithm,the proposed scheme can provide continuous network service for more vehicles.

Key words: vehicular Ad Hoc network, roadside unit placement, connection time, BPSO algorithm

中图分类号: 

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