计算机应用与软件Issue(4)：125-128,201,5.DOI:10.3969/j.issn.1000-386x.2015.04.030
学习自动机建立虚拟退避算法的VANET服务质量改进
SERVICE QUALITY IMPROVEMENT IN VANET BASED ON VBA SET UP WITH LEARNING AUTOMATON
张浩1
作者信息
- 1. 河南牧业经济学院计算机系 河南 郑州450044
- 折叠
摘要
Abstract
Adjacent vehicles will cause signal distortion in vehicular ad hoc networks (VANETs),which results in the transmission reliability being impacted by high mobility of nodes.Aiming at this problem,we propose a VANET medium access algorithm,it is based on setting up the virtual backoff algorithm (VBA)with learning automaton.First,the VBA by means of counter sharing allocates for every node a counter each.Then,it makes use of learning automaton to determine the optimum value of the specified node’s series number.Finally,it uses RTS/CTS mechanism to reward or punish each node to realise the medium access of VBA.The effectiveness and reliability of the proposed algorithm are verified by simulation experiment using NS-2 and MOVE.Simulation results show that the proposed algorithm improves the performance of medium access,and the energy saving effect is evident as well,its implementation effect is clearly better than traditional schemes of DCF and VBA.关键词
车载自组织网络/虚拟退避算法/学习自动机/信道访问/服务质量改进Key words
Vehicular ad hoc networks/Virtual backoff algorithm/Learning automaton/Channel access/QoS improvement分类
信息技术与安全科学引用本文复制引用
张浩..学习自动机建立虚拟退避算法的VANET服务质量改进[J].计算机应用与软件,2015,(4):125-128,201,5.
