基于熵权系数法的无线传感器网络自适应QoS路由算法  

Entropy-based adaptive QoS routing for wireless sensor networks

作　　者：石为人[1] 严明蒙[1] 黄河[1] 

机构地区：[1]重庆大学自动化学院,重庆400030

出　　处：《计算机应用》2011年第2期298-300,319,共4页journal of Computer Applications

基　　金：国家863计划项目(2006AA780201-2);重庆市重大科技专项(CSTC;2008AB6115)

摘　　要：针对无线传感器网络中不同业务对服务质量(QoS)指标的不同要求,以及QoS指标在网络运行过程中实时变化的特点,提出一种基于熵权系数法的自适应QoS路由(EAQR)算法。算法将路由建立过程抽象成多指标加权评分的问题,选取节点负载、平均能量势、通信时延作为QoS评价指标,采用熵权系数法自适应地确定指标的权重,选择最优节点转发数据。仿真实验显示,与有序分配路由(SAR)、能量感知QoS路由(EQR)算法相比,EAQR算法可以有效降低网络平均端到端延迟,减少丢包率,延长网络寿命。Concerning the different QoS requirements in different services and the real-time change of QoS indicators during the network＇s operation,an Entropy-based Adaptive QoS Routing（EAQR） algorithm for wireless sensor networks was proposed.In EAQR,the routing establishment process was Abstracted as multi-index weighted mark problems,nodes＇ load,average energy potential,as well as time-delay were selected as QoS evaluation indexes,index weights were adaptively determined by the method of entropy,and then a sensor node could choose an optimal node to relay the data.The simulation results show that compared with the algorithms of Sequential Assignment Routing（SAR） and Energy-aware QoS Routing（EQR）,EAQR algorithm can effectively reduce the average end-to-end delay,decrease the packet loss,and prolong the network lifetime.

关 键 词：无线传感器网络 多指标 自适应 熵 服务质量 路由 

分 类 号：TP393.04[自动化与计算机技术—计算机应用技术] TN915.04[自动化与计算机技术—计算机科学与技术]