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为了延长无线传感器网络寿命,减小通信代价,提出一种层次型网络结构下基于粒子滤波的分布式跟踪算法.层次型网络由簇头节点和普通传感节点组成,簇头节点采用粒子滤波获得目标运动状态,联合当前时刻目标的本地估计位置、预测速度预测下一时刻的目标位置.并根据目标的预测位置判断是否转移簇首.目标离开节点探测范围后,节点进入休眠状态.实验表明,该方法能满足目标跟踪精度,并可有效的减少网络能耗,提高无线传感器网络使用寿命.
In order to prolong the life of wireless sensor network and reduce the communication cost, a distributed tracking algorithm based on particle filter is proposed in hierarchical network structure.Hierarchical network is composed of cluster head node and common sensor node, and the cluster head node is obtained by particle filter The target state of motion, the local estimated position of the target at the current moment, the predicted speed to predict the target position at the next moment, and judges whether to transfer the cluster head according to the predicted position of the target.After the target leaves the detection range of the node, the node enters the dormant state. The method can meet the target tracking accuracy, and can effectively reduce the network energy consumption and improve the life of wireless sensor networks.