基于多属性决策的WSNs分布式能量均衡路由  

Distributed multiple attribute-based energy-balance routing for wireless sensor networks

作　　者：王楷[1] 邓仲芬[1] 石为人[1] 王小刚[1] 

机构地区：[1]重庆大学自动化学院,重庆400044

出　　处：《仪器仪表学报》2012年第4期955-960,共6页Chinese Journal of Scientific Instrument

基　　金：工信部2011年物联网发展专项资金;中央高校基本科研业务费(0215005202018)资助项目

摘　　要：针对无线传感器网络中现有路由能耗不均问题,提出一种基于多属性决策的能量均衡路由算法(distributed multiple attribute-based energy-balance routing,DMAE),通过引入节点负载预测机制、传输总能耗(total transmission energy cost,TEC)等,建立多属性决策模型,将节点的前向邻居的能量、综合负载、传输总能耗等参数定义为模型中的属性,根据构建的前向邻居列表信息,使用相对熵计算各属性的权重,确定决策模型。节点依据该决策模型选出最优的前向邻居中转数据,使全网能耗均衡。仿真结果表明,与MTE(minimum transmitted energy)、EAR(energy-aware routing)、DEBR(distributed energy balanced routing)协议相比,DMAE能够更好地均衡全网能量分布,提高能量利用率,从而延长网络生存时间。Uneven energy distribution,which severely influences network lifetime,is a prevailing problem existing in many routing protocols for wireless sensor networks.To solve this problem,a distributed multiple attribute-based energy-balance routing（DMAE） is proposed.Through introducing load prediction mechanism and total transmission energy cost（TEC）,we define parameters like residual energy,comprehensive load and TEC as attributes that are employed to establish a multiple-attribute decision making model.Weights of these attributes are calculated by using relative entropy based on information of node＇s forward neighbor table.Each node selects the optimal forward neighbor to relay packets according to the decision making model,which can effectively balance energy consumption of all nodes.Simulation results show that by comparing with MTE（minimum transmitted energy）,EAR（energy-aware routing）,DEBR（distributed energy balanced routing）,DMAE has better energy-balancing effect and energy efficiency,which prolongs network lifetime.

关 键 词：无线传感器网络 多属性决策 能量均衡 负载预测 前向邻居 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]