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VANET中基于WSN节点感知的高效路由协议设计方案
引用本文:张定祥,张跃进.VANET中基于WSN节点感知的高效路由协议设计方案[J].计算机应用研究,2018,35(12).
作者姓名:张定祥  张跃进
作者单位:贵州商学院 计算机与信息工程学院,华东交通大学 信息工程学院
基金项目:国家自然科学基金(No. 61164013);贵州省软科学研究计划项目(No.黔科合体R字[2014] LKS2007) ;贵州省教育厅基金项目(No.黔教社发[2010]339) ;贵州省普通高等学校智能物联网工程研究中心建设项目(No.黔教合KY字[2016]016);贵州省教育厅项目(No.黔教合KY字[2017]022)
摘    要:在车载自组网(VANET)中,当网络密度较低时,VANETs不能保证及时发现危险的路况或保持通信连通性,这可能对驾驶安全构成风险。为解决该问题,提出一种VANET中基于WSN节点感知的高效路由协议设计方案。该方案将VANET和WSN相结合,使用WSN节点沿着路边部署,以感知道路状况,并向车辆传递关于危险状况的信息,忽略VANET的密度和连通性。同时根据VANET中常用的被动式带宽估算方法,提出一种基于CORNER传播模型的带宽评估策略,实现链路可用带宽和信道容量的准确估计。仿真结果表明,该路由协议可以减少端到端延迟和能耗,合理地利用有限的网络带宽资源,减少丢包率。

关 键 词:车载自组网  WSN  节点感知  CORNER传播模型  带宽估计
收稿时间:2017/12/3 0:00:00
修稿时间:2018/11/5 0:00:00

Efficient Routing Protocol Design Using WSN Node Perception in VANET
ZHANG Ding-xiang and ZHANG Yue-Jin.Efficient Routing Protocol Design Using WSN Node Perception in VANET[J].Application Research of Computers,2018,35(12).
Authors:ZHANG Ding-xiang and ZHANG Yue-Jin
Affiliation:College of Computer and Information Engineering,Guizhou University of Commerce,Guiyang,Guizhou,
Abstract:VANETs may not guarantee timely detection of dangerous road conditions or maintain communication connectivity when the network density is low, which may pose a risk to driving safety. To solve this problem, this paper proposed an efficient routing protocol design based on WSN node perception in VANET. The program combined VANET with WSN and sensor nodes were deployed along the roadside to sense road conditions and to deliver information about dangerous conditions to vehicles regardless of the density or connectivity of the VANET. In order to estimate the available bandwidth and channel capacity of the link correctly, this paper also proposed a bandwidth assessment method based on CORNER propagation model by using the commonly passive bandwidth estimation method in VANET. The simulation results show that the routing protocol can reduce the end-to-end delay and energy consumption and make reasonable use of limited network bandwidth resources and reduce the packet loss rate.
Keywords:VANET  WSN  Node perception  CORNER propagation model  Bandwidth estimation
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