ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks

doi:10.1007/s00521-015-1954-4

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks
	Song, Ruizhuo 1; Wei, Qinglai2 ; Xiao, Wendong 1
发表期刊	NEURAL COMPUTING & APPLICATIONS
	2016-08-01
卷号	27 期号:6 页码:1543-1551
文章类型	Article
摘要	This paper proposes a novel sensor scheduling scheme based on adaptive dynamic programming, which makes the sensor energy consumption and tracking error optimal over the system operational horizon for wireless sensor networks with solar energy harvesting. Neural network is used to model the solar energy harvesting. Kalman filter estimation technology is employed to predict the target location. A performance index function is established based on the energy consumption and tracking error. Critic network is developed to approximate the performance index function. The presented method is proven to be convergent. Numerical example shows the effectiveness of the proposed approach.
关键词	Adaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Neuro-dynamic Programming Neural Networks Wireless Sensor Networks Scheduling
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s00521-015-1954-4
关键词[WOS]	TIME NONLINEAR-SYSTEMS ; ADAPTIVE CRITIC DESIGNS ; ONLINE LEARNING CONTROL ; CONTROL SCHEME ; APPROXIMATION ERRORS ; ALGORITHM ; STATE
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61304079 ; Beijing Natural Science Foundation(4132078 ; China Postdoctoral Science Foundation(2013M530527) ; Fundamental Research Funds for the Central Universities(FRF-TP-14-119A2) ; SKLMCCS(20150104 ; 61374105) ; 4143065) ; 20120106)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000379079600008
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12148
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Song, Ruizhuo,Wei, Qinglai,Xiao, Wendong. ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks[J]. NEURAL COMPUTING & APPLICATIONS,2016,27(6):1543-1551.
APA	Song, Ruizhuo,Wei, Qinglai,&Xiao, Wendong.(2016).ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks.NEURAL COMPUTING & APPLICATIONS,27(6),1543-1551.
MLA	Song, Ruizhuo,et al."ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks".NEURAL COMPUTING & APPLICATIONS 27.6(2016):1543-1551.