为实现无线传感器网络中数据传输效率与能量节省的综合性能优化,提出一种基于Q学习的自组织协议方法,将无线传感器网络的每个节点映射为一个Agent,通过学习训练,使得每个Agent可以选择一个较优的转发方向,从而实现无线传感器网络的自组织。实例分析表明,应用Q学习构建的自组织传感器网络能够提高数据传输的能量效率,延长网络生存期。
To achieve integrated performance optimization between data transmission efficiency and energy savings in wireless sensor networks(WSNs),a self-organization protocol method based on Q-learning is proposed,in which every WSNs sensor node is mapped to an Agent,each Agent selects a better forwarding path by learning and training,so as to achieve self-organization of WSNs.Case study has shown that,the self-organizing WSNs built with Q-learning can improve energy efficiency of data transmission and prolong the network lifetime.