基于动态分簇的移动目标追踪方法

针对无线传感器网络（WSN）中目标追踪的准确性低、网络能耗过高和网络生命周期短等问题，提出基于动态分簇的移动目标追踪技术。首先，构建了双层环状动态分簇的拓扑模型（TRDC），并提出了动态分簇的更新算法；其次，在质心定位算法基础上，考虑到节点的能量，提出了基于功率级别的质心定位（CLPL）算法；最后，为了进一步减小网络的能耗，改进CLPL算法，提出了随机性定位算法。在仿真实验中，与静态簇相比，网络周期延长了22.73%；与非环状簇相比，丢失率降低了40.79%；而追踪准确性与基于接受信号强度值（RSSI）算法相差不大。所提的追踪技术能够有效保证追踪准确度，同时降低网络能耗，减小目标丢失率。

Moving target tracking scheme based on dynamic clustering

Focused on the issues of low accuracy, high energy consumption of target tracking network and short life cycle of network in Wireless Sensor Network (WSN), the moving target tracking technology based on dynamic clustering was proposed. Firstly, a Two-Ring Dynamic Clustering (TRDC) structure and the corresponding TRDC updating methods were proposed; secondly, based on centroid localization, considering energy of node, the Centroid Localization based on Power-Level (CLPL) algorithm was proposed; finally, in order to further reduce the energy consumption of the network, the CLPL algorithm was improved, and the random localization algorithm was proposed. The simulation results indicate that compared with static cluster, the life cycle of network increased by 22.73%; compared with acyclic cluster, the loss rate decreased by 40.79%; there was a little difference from Received Signal Strength Indicator (RSSI) algorithm in accuracy. The proposed technology can effectively ensure tracking accuracy and reduce energy consumption and loss rate.