基于约束策略的WSN低能耗粒子滤波跟踪算法

Particle Filter Tracking Algorithm of Low Energy Consumption for Wireless Sensor Network Based on Restrict Strategy

目标跟踪是无线传感器网络研究的关键技术之一,如何在保证较低能量消耗的前提下,实现监测场景中运动目标准确跟踪是需要解决的问题。在深入研究分析传感器网络目标跟踪算法的基础上,提出了基于约束策略的WSN低能耗粒子滤波跟踪算法。该算法采用动态分簇,既减少网络的能量消耗,又保证监测目标节点的数量;在跟踪过程中,采用约束策略得出目标估计区域,对粒子采样结果进行优化,同时对状态空间模型进行改进,增强粒子对目标的跟踪能力。仿真结果表明,提出的跟踪算法有效的实现目标的跟踪,在保证低能耗的同时提高了跟踪精度。

Object tracking is one of the key techniques in wireless sensor network。How to ensure low energy con-sumption on the premise of achieving accurate tracking of moving objects in the monitoring scene is a problem to besolved. We propose particle filter tracking algorithm of low energy consumption for wireless sensor network basedon restrict strategy on the basis of in-depth research and analysis of sensor network. The algorithm uses dynamicclustering,which reduces the energy consumption of the network as well as ensuring the number of monitoring tar-get nodes. In the tracking process,restrict strategy is used to get estimation region and optimize particle sampling re-sult,meanwhile improves the state-space model and enhances the particle＇s tracking capability of objects. Simula-tion results show that the proposed tracking algorithm effectively achieves object tracking,ensures low energy con-sumption and improves tracking accuracy.