中文摘要：

针对无线传感器网络中能耗不均的问题，在非均匀分簇的基础上，本文提出一种基于模糊理论的无线传感器网络路由优化算法。在分簇阶段，将节点的相对剩余能量、向心率、成功发送率作为各层簇首选举指标，运用模糊逻辑推理选择簇首。在簇间路由阶段，由熵权法确定簇首节点指标的权重后采用模糊综合评判法得出簇首的转发概率值，选择概率值较大的簇首节点作为转发节点，逐层完成信息传输。仿真表明，该算法在降低能耗与延长网络生命周期方面性能较优。

英文摘要：

Aiming at the problem of uneven energy consumption in wireless sensor network （WSN）, on the basis of the uneven clustering, a kind of routing optimization algorithm for wireless sensor network based on fuzzy theory （RABF） is proposed in this paper. In the clustering stage, the relative surplus energy, the centripetal rate and the successful transmission rate are used as the election indexes of each cluster head. And the cluster head is selected by the fuzzy logic reasoning. In the inter-cluster routing stage, the indexes weights of cluster head node are determined through the entropy weight method, a fuzzy comprehensive evaluation method is used to obtain the forwarding probability of cluster head, the cluster head node with the largest probability is chosen as the forwarding node, and the date is then transmitted layer by layer through the cluster head node. The simulation shows that the proposed algorithm has better performance in reducing energy consumption and prolonging network lifetime.