基于博弈的能量获取传感器网络分布式估计算法  

Distributed estimation based on game theory in energy harvesting wireless sensor networks

作　　者：刘贵云[1] 张轩睿 刘长红[1] 

机构地区：[1]广州大学机械与电气工程学院,广东广州510006

出　　处：《广州大学学报（自然科学版）》2014年第1期70-74,共5页Journal of Guangzhou University:Natural Science Edition

基　　金：广东省自然科学基金博士启动资助项目(S2013040016694);2013年度广东省大学生创新训练立项资助(1107813031);国家高技术研究发展计划项目(2011AA040801);广州大学2013年新苗计划资助项目(2013-05)

摘　　要：针对传感器网络节点环境微能量采集的随机不稳定性问题,文章提出了一种基于完全且完美信息扩展博弈模型的分布式估计算法.该算法以一个典型的量化分布式估计问题作为研究对象,①分析了其微能量采集和能量消耗模型;②重点构建了扩展博弈模型和博弈树,并进一步探讨了其子博弈精炼纳什均衡的存在问题及其求解方法;③仿真验证了所提算法比传统的分布式估计策略能更有效地应对微能量的随机扰动.For stochastic unstable problems of ambient energy harvesting in wireless sensor networks,a kind of distributed estimation algorithms based on perfect and complete information extensive game theory is proposed. A quantized distributed estimation problem is under investigation. Firstly,the ambient energy harvesting model and the energy consumption model of nodes are analyzed. Then,its extensive game theory model and game tree are both developed. Further more,the existence and its solution of the refined Nash equilibrium of sub-game theory are discussed. Lastly,simulations show that the proposed algorithm can better deal with the random disturbance of ambient energy than the conventional distributed estimation scheme.

关 键 词：博弈论 能量获取传感器网络 分布式估计 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]