基于熵权系数法的无线传感器网络自适应QoS路由算法

摘要

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.%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.