认知无线mesh网络中基于协作学习自动机的自适应信道分配算法  

Cooperative learning automata based adaptive channel allocation algorithm in cognitive wireless mesh networks

作　　者：顾金媛[1,2] 章国安[2] Gu Jinyuan;Zhang Guo an(Kangda College of Nanjing Medical University,Lianyungang Jiangsu 222000,China;School of Electronics Information,Nantong University,Nantong Jiangsu 226019,China)

机构地区：[1]南京医科大学康达学院,江苏连云港222000 [2]南通大学电子信息学院,江苏南通226019

出　　处：《计算机应用研究》2018年第11期3369-3372,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61371113);江苏高校"青蓝工程"资助项目;江苏省教育信息化研究立项课题(20172071);南京医科大学教育研究课题青年基金资助项目(QN2017175)

摘　　要：在认知无线mesh网络多信道环境中处理繁重的数据业务是一项具有挑战性的任务。为了解决这个问题,提出了一种新的基于协作学习自动机(learning automata,LA)的自适应信道分配算法(CLACAA)。在所提出的算法中,LA被部署在邻近的互相协作的次用户上。为了LA能自适应地更新其动作概率向量,设计了一种线性奖赏无为方案;定义了一种新的信道利用率因子用于信道选择,以解决信道冲突发生的问题;给出了当信道由于大量输入请求而过载时的信道切换方案。实验仿真结果表明,该算法在提升网络吞吐量和数据传输率、降低切换时延和缓冲时延上有明显的优势。Dealing with heavy data traffic in the multi-channel environment for cognitive wireless mesh networks is a challen-ging task.To solve this problem,this paper proposed a new cooperative learning automata based adaptive channel allocation algorithm(CLACAA).The proposed algorithm deployed LA in the secondary users cooperating with each other in the vicinity.First,for updating their action probability vector by taking adaptive decisions,it designed a linear reward inaction.Secondly,when the channel conflict occurred,it defined a new channel utilization factor for channel selection.Finally,if a channel was overloaded due to a large number of input requests,it gave a channel switching scheme.Experimental results show that the proposed algorithm has obvious advantages in improving network throughput and data transmission rate,reducing switching delay and buffering delay.

关 键 词：认知无线mesh网络 信道分配 学习自动机 

分 类 号：TN92[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]