【摘要】 目标跟踪是无线传感器网络的一项基本应用。由于传感器节点能量有限,如何在保证跟踪精度的前提下降低节点能耗以延长网络生命周期一直是研究的重点之一。文中采用RNG平面化技术将无线传感器网络平面化为多边形跟踪结构,基于定位边,采用加权质心算法对目标位置进行估计,结合节点对目标感应质量与距离负相关的特性,给出了节点感应度的计算方法,同时提出了一种节点自主决策是否参与跟踪的目标跟踪算法(NS-ADTT)。该算法中,节点可根据自身感应度值及局部网络情况自主决策是否参与当前跟踪。仿真结果表明,在目标跟踪过程中,该算法在保证一定跟踪精度的基础上减少了参与跟踪的节点数,降低了网络能耗,有效地延长了网络生命周期。更多还原

【Abstract】 Target tracking is one of the basic applications in wireless sensor networks(WSNs).Because of the limitation of node energy,how to reduce node energy consumption to ensure the tracking accuracy is the major research.In this paper,the wireless sensor networks were divided into several polygons using RNG planarization technology,and weighted centroid algorithm based on the polygon structure was used to estimate the target’s position.Since the node sensor quality is inversely proportional to the distance,we gave the calculation method of node sensitivity,and proposed a node sensitivity-based autonomous decision-making target tracking algorithm(named NS-ADTT).According to the node sensitivity and the local network,the node can make decision to participate or not in the current tracking.The simulation results show that our algorithm can reduce the tracking number of nodes and the energy consumption of network, and extend the network lifetime efficiently.更多还原