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

作　　者：张浩[1] 

机构地区：[1]河南牧业经济学院计算机系,河南郑州450044

出　　处：《计算机应用与软件》2015年第4期125-128,201,共5页Computer Applications and Software

摘　　要：针对车辆自组织网络(VANET)中由于相邻车辆会造成信号失真导致节点的高度移动性影响传输可靠性的问题,提出一种基于学习自动机建立虚拟退避算法的VANET介质访问算法。首先,借助于计数器共享的虚拟退避算法为每个节点分配一个计数器;然后,利用学习自动机确定指定节点序列号的最佳值;最后,使用RTS/CTS机制来奖惩每个节点以实现VBA介质访问。使用NS-2和MOVE进行的仿真实验验证了所提算法的有效性及可靠性,仿真结果表明,所提算法不仅改善了介质访问性能,而且节能效果明显,执行效果明显优于DCF和VBA等传统方案。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 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]