基于博弈理论的无线传感器网络数据融合算法  

DATA AGGREGATION ALGORITHM FOR WIRELESS SENSOR NETWORK BASED ON GAME THEORY

作　　者：王勇[1,2] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221116 [2]徐州工业职业技术学院信息管理技术学院,江苏徐州221140

出　　处：《计算机应用与软件》2015年第12期92-96,共5页Computer Applications and Software

摘　　要：数据融合是无线传感器网络研究热点之一。为了减少传感器节点间的数据通信量,有效地节省传感器节点能耗,延长无线传感器网络的寿命,提高数据融合的准确性,减少网络时延,提出一种基于博弈理论的无线传感器网络数据融合算法。该方法将所有网络节点根据能耗最优进行分簇,簇头与监控中心通过博弈来自适应地选择不同融合因子的融合算法,使整个网络的总效益最大。实验仿真表明,在丢包率不同时,自适应融合算法可以得到最佳的融合因子,有效实现了时延和精确性的均衡。该方法为无线传感器网络中各个指标的折中提供了参考方向。Data aggregation is one of the hot topics in WSN research. In order to reduce data traffic between sensor nodes,save energy consumption of sensor nodes effectively,prolong the life of WSN,improve the accuracy of data aggregation and lessen networks time delay,we put forward a game theory-based data aggregation method for WSN. The method divides all the network nodes into clusters based on optimal energy consumption,each cluster head adaptively selects the aggregation algorithm with different coefficients through gaming with the monitoring centre to maximise total efficiency of the network. Experimental simulation showed that this algorithm can achieve optimal aggregation coefficient in different packet loss rate,and effectively realised the balance between delay and accuracy. It provided a reference direction for the compromise of various indicators in wireless sensor network.

关 键 词：无线传感器网络 博弈 自适应数据融合 精确度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]