ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks
文献类型:期刊论文
作者 | Song, Ruizhuo1; Wei, Qinglai2![]() |
刊名 | NEURAL COMPUTING & APPLICATIONS
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出版日期 | 2016-08-01 |
卷号 | 27期号:6页码:1543-1551 |
关键词 | Adaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Neuro-dynamic Programming Neural Networks Wireless Sensor Networks Scheduling |
DOI | 10.1007/s00521-015-1954-4 |
文献子类 | Article |
英文摘要 | 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. |
WOS关键词 | TIME NONLINEAR-SYSTEMS ; ADAPTIVE CRITIC DESIGNS ; ONLINE LEARNING CONTROL ; CONTROL SCHEME ; APPROXIMATION ERRORS ; ALGORITHM ; STATE |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000379079600008 |
资助机构 | 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) |
源URL | [http://ir.ia.ac.cn/handle/173211/12148] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
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. |
入库方式: OAI收割
来源:自动化研究所
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