无线传感网络中基于误差椭圆的自适应节点 选择目标跟踪算法

追踪精度与传感器节点能耗是无线传感网络WSN(Wireless Sensor Network)中主要考虑的两个性能指标,现有的许多目标追踪算法在提高追踪精度、降低传感器节点能耗的同时缺乏对传感器节点位置与数目的考虑.因此,提出一种基于误差椭圆的自适应节点选择目标追踪算法,以误差椭圆为基准计算目标最可能出现的区域,然后根据误差判决调整区域内所需激活的传感器节点数量,完成对目标的跟踪.仿真结果表明,该算法可以在保证追踪精度的同时有效降低激活传感器节点数量.

Target Tracking in Wireless Sensor Network Based on Error Ellipse and Adaptive Selection of Nodes

In the Wireless Sensor Network,tracking accuracy and energy consumption of nodes are two main per-formance indicators. Although many target tracking algorithms improved the tracking accuracy and reduced the energy consumption of the sensor nodes, few of them considered the distribution number and position of sensor nodes.Therefore,a target tracking algorithm based on error ellipse and adaptive selection of nodes is proposed. First-ly,proposed algorithm calculates the most possible region for target based on error ellipse. Then determines the number of sensor nodes by using the error indicator.Finally,activating the sensor nodes to complete the target track-ing. The simulations demonstrate that proposed algorithm can effectively reduce the number of activated sensor nodes in the premise high tracking accuracy.