Abstract: 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.

Key words: Wireless Sensor Network (WSN), multiindex, selfadaptive, entropy, Quality of Service (QoS), routing

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。

关键词: 无线传感器网络, 多指标, 自适应, 熵, 服务质量, 路由