无线传感器网络
估计员
协方差
趋同(经济学)
计算机科学
传输(电信)
上下界
能量收集
数学优化
能量(信号处理)
无线
协方差矩阵
算法
数学
电信
计算机网络
统计
经济
数学分析
经济增长
作者
Wei Chen,Zidong Wang,Derui Ding,Xiaojian Yi,Qing‐Long Han
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2022-06-22
卷期号:53 (5): 3311-3324
被引量:28
标识
DOI:10.1109/tcyb.2022.3179280
摘要
This article is concerned with the distributed state estimation problem over wireless sensor networks (WSNs), where each smart sensor is capable of harvesting energy from the external environment with a certain probability. The data transmission between neighboring nodes is dependent on the energy level of each sensor, and the internode communication is deemed as a failure when the current energy level is inadequate to guarantee the normal data transmission. Considering the intermittent information exchange over WSNs, a novel distributed state estimator is first constructed via introducing a set of indicator functions, and then the evolution of the probability distribution of energy level and its steady-state distribution is systematically discussed by resorting to the eigenvalue analysis approach and the mathematical induction. Furthermore, the optimal estimator gain is derived by minimizing the trace of the estimation error covariance under known communication sequences. In addition, the convergence of the minimized upper bound of the expected estimation error covariance is analyzed under any initial condition. Finally, an illustrative example regarding the target tracking problem is provided to verify the validity of the obtained theoretical results.
科研通智能强力驱动
Strongly Powered by AbleSci AI