基于分布式动态簇结构的WSN自适应目标跟踪算法

目标跟踪是无线传感器网络应用研究的一个重要问题,如何在传感器节点随机分布的条件下对目标进行实时、准确的跟踪,并尽可能地降低网络能耗是目标跟踪问题的一个难点。文章基于分布式动态簇结构和并行粒子滤波算法对目标进行跟踪,提出一种跟踪采样周期自适应调整算法来降低网络能耗,同时也提高了跟踪的稳定性。仿真结果表明,文章提出的算法达到了实时、准确和节能的要求,具有一定的实际应用价值。

Adaptive Target Tracking Based on Distributed Dynamic Cluster in WSN

Target tracking is an important question in WSN ’ s application study.It is difficult to make a quick and accurate target tracking with low energy consumption under the condition that the sensor notes are random distributed.In order to reduce energy consumption and raise tracking stability,the article puts forward an adjustment algorithm which has an adaptive tracking sampling period based on distributed dynamic cluster and paralleled particle filter algorithm.The emulation result shows that the method meets the need of rapid,accurate and energy-saving tracking and possesses practical application value.