无线传感器网络节点重部署研究进展

传感器节点随机部署导致的分布不均匀往往会使无线传感器网络的感测区域产生覆盖空洞或冗余覆盖，严重影响网络性能，因此需要重部署对网络拓扑进行修复。总结和分析近年来重部署相关的主要研究方向和成果。首先回顾了三种基础的节点感测模型；再从研究问题、策略设计优化目标和分类方法等三个方面对节点的重部署进行了全面的梳理；然后着重针对典型的传感器节点和Sink节点的重部署策略进行分类解释和比较分析；最后讨论强化学习框架下的节点重部署策略和安全监测需求下无线传感器网络迁移部署，并指出重部署策略的应用前景与发展趋势以及未来的优化方向。

Research progress of nodes redeployment in wireless sensor network

The uneven distribution caused by the random deployment of sensor nodes often leads to coverage holes or redundant coverage in the sensing region of wireless sensor network, which severely affects the network performance. Therefore, it is necessary to redeploy the sensor nodes to repair the network topology. This paper summarized and analyzed the major research directions and achievements related to the nodes redeployment in recent years. Firstly, it reviewed the three basic sensing models. Secondly, it gave a comprehensive overview about the nodes redeployment from three perspectives: research questions, optimization objectives for strategy design, and classification methods. Thirdly, it classified and analyzed the redeployment strategies of typical sensor nodes and Sink nodes. Finally, it discussed the nodes redeployment strategy under reinforcement learning framework and the relocation of wireless sensor network under security monitoring requirements, and pointed out the application prospect, development trend and future optimization direction of redeployment strategy.