针对无线传感网络中强化学习路由算法存在的目标单一、建立过程复杂及节点转发开销大等问题，开展了节点能量及跳数的动态协调方法研究，提出了具有反馈学习能力的动态自适应路由算法。利用局部路由信息，反馈学习邻居状态，以能量和跳数信息加权计算出路由奖励值，并更新求解Q-value值，获取最优路由策略。经实验验证及分析，算法能有效延长无线传感器网络的生命周期。%In wireless sensor network ,the existing reinforcement learning routing algorithm usually optimi-zes single goal and it’s process of route establishment is complex .It also has problem of the node informa-tion forwarding control overhead .In this paper ,a dynamic adaptive routing algorithm with feedback learn-ing ability has been presented to balance the energy of wireless sensor network ,to reduce the routing hops ,and to reduce the establishment complexity .T he local routing information and the method of feed-back will be used in algorithm to learn neighbors’ state;routing reward values will be obtained by weigh-ted calculation according to the energy information and the hop counts information ;the optimal routing strategy will be obtained by updating the Q-value of routing table through the Q-value update formula .
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