文章摘要
王会勤*,付春玲**,胡振涛*,刘先省***,金勇*.WSN目标跟踪场景中基于能耗约束的传感器选择算法[J].高技术通讯(中文),2021,31(11):1173~1178
WSN目标跟踪场景中基于能耗约束的传感器选择算法
Sensor selection algorithm based on energy consumption constraint in WSN target tracking scene
  
DOI:10.3772/j.issn.1002-0470.2021.11.007
中文关键词: 无线传感器网络(WSN); 传感器选择; 扩展卡尔曼滤波(EKF); 能量约束; 目标跟踪
英文关键词: wireless sensor network(WSN), sensor selection, extended Kalman filter(EKF), energy constraint, target tracking
基金项目:
作者单位
王会勤*  
付春玲**  
胡振涛*  
刘先省***  
金勇*  
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中文摘要:
      无线传感器网络(WSN)中高精度目标跟踪时的传感器能量管理为当前的研究热点。针对节省能量和能耗均衡问题,提出一种基于能耗约束的传感器选择算法。算法实现以扩展卡尔曼滤波(EKF)增益矩阵及传感器量测能耗矩阵为待优化变量,以估计协方差矩阵的迹与传感器量测能耗函数的和为目标函数,结合传感器节点能耗阈值约束,通过凸优化方法求解。理论推导与仿真实验结果表明,在保证估计精度条件下,本文算法可以有效节省网络能量,实现网络能量均衡。
英文摘要:
      In wireless sensor networks (WSN), the energy management of sensors for high-precision target tracking is a hot topic. Aiming at the balance of energy saving and energy consumption, this paper proposes a sensor selection algorithm based on energy consumption constraint. In proposed algorithm, the sum of the trace of the covariance matrix and the energy consumption function of the sensor measurement matrix is taken as the objective function, the estimated covariance matrix of extended Kalman filter (EKF) and the energy consumption matrix measured by sensors are taken as the variables to be optimized, energy consumption constraint of sensor nodes is introduced to balance energy of WSN, the convex optimization method is used to solve the problem. The theoretical derivation and simulation results show that the proposed algorithm can effectively save network energy and achieve network energy balance under the condition of ensuring the estimation accuracy.
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