Multi-target Tracking Based on Dynamic Cells in Wireless Sensor Networks

Lin Fan, Zhongmin Wang, Hai Wang
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Abstract

To develop effective multi-target tracking system in Wireless Sensor Networks (WSN), researches have been made on the collaborative signal processing (CSP) model and the Load Balancing Tree(LBA). An event triggering multi-target tracking model based on dynamic Cells is brought up. In this paper, the entire region is divided into grids. As a target appeared, the nearest Local Aggregator(LA) awoke all nodes in adjacent eight grids to compose a Cell. Then the Cell began tracking target. Multi-Cell can tracking multitarget independently and simultaneously. The paper defined Main target and Sub-target and divided multi-target tracking into three situations: non-intersection targets, intersection targets with partially overlap Cell, intersection targets with completely overlap Cell. The simulation result proved that the algorithm is timely and effectively.
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基于动态单元的无线传感器网络多目标跟踪
为了开发有效的无线传感器网络(WSN)多目标跟踪系统,对协同信号处理(CSP)模型和负载平衡树(LBA)进行了研究。提出了一种基于动态单元的事件触发多目标跟踪模型。在本文中,整个区域被划分为网格。当目标出现时,最近的Local Aggregator(LA)唤醒相邻8个网格中的所有节点组成Cell。然后组织开始追踪目标。Multi-Cell可以同时独立地跟踪多个目标。本文定义了主目标和子目标,并将多目标跟踪分为非相交目标、部分重叠单元的相交目标和完全重叠单元的相交目标三种情况。仿真结果证明了该算法的及时性和有效性。
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