自适应负载状态的车联网信道接入算法  

Channel access algorithm in vehicle networks with adaptive load status

作　　者：王维 包志华[1] 王慧玲[1] 邱恭安[1] WANG Wei;BAO Zhihua;WANG Huiling;QIU Gongan(School of Information Science and Technology,Nantong University,Nantong 226019,China)

机构地区：[1]南通大学信息科学技术学院,江苏南通226019

出　　处：《南京邮电大学学报（自然科学版）》2020年第2期66-71,共6页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(61771263)资助项目。

摘　　要：为解决现有车联网信道接入算法中安全性消息接入成功率低和接入时延高等问题,提出了一种自适应负载状态的车联网信道接入算法。算法首先将区域内的车辆密度和通信流量负载率作为输入参数,运用D-S证据理论对输入参数进行融合,其次通过判决准则对链路负载状况进行推理和评估,最后运用自适应退避算法实现车辆节点安全性消息在不同负载状态下的信道接入。仿真结果表明,与不考虑链路负载状态的二进制指数退避算法相比,该算法接入成功率提升26.9%,接入信道时延平均降低43.8%,能够有效提升车联网无线通信的性能。To solve the problems of low success rate in security message access and high access delay in existing channel access algorithms in vehicular networks,a load state based channel access algorithm in the vehicular networks is proposed.Firstly,The algorithm takes the vehicle density and communication traffic load rate in the area as input parameters,and the input parameters are fused by D-S evidence theory.Secondly,the link load condition is reasoned and evaluated by decision criteria.Finally,the adaptive backoff algorithm is used to realize the channel access of the vehicle node security message under different load conditions.Simulation results show that compared with the binary exponential backoff algorithm without considering the link load state,the access success rate of the algorithm is increased by 26.9%,and the access channel delay is reduced by 43.8%,thus improving the performance of wireless communication in the vehicle networks.

关 键 词：负载状态 信息融合 证据理论 退避算法 

分 类 号：TN929.5[电子电信—通信与信息系统]