基于熵权系数法的无线传感器网络自适应QoS路由算法

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。

Entropy-based adaptive QoS routing for wireless sensor networks

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.