A Mobility Based Clustering Algorithm in MANETs Utilizing Learning Automata

摘要：

　　There being ample research in cluster-based Media Access Control (MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for MANETs.Nodes in MANETs often have highly mobility and sometimes present the characteristic of group mobility.From the innovation perspective,we proposed a clustering algorithm by employing Learning Automata (LA) in a distributed manner considering nodes distance and nodes mobility to produce stable clusters.By utilizing LA nodes can make intelligent and adaptive decisions based on the local information collected in the past time.Compared to another mobility based clustering algorithm,simulation results present us the superior performance of the proposed algorithm.

关键词： Ad Hoc clustering mobility Learning Automata

作者: GAO Xun

作者单位: School of Automation, Beijing Institute of Technology, Beijing, 100081;Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing, 100081

会议类型: 国际会议

会议名称: the 32nd Chinese Control Conference(第三十二届中国控制会议)

会议地点: 西安

会议语种:英文

页码: 6398-6402

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）