CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks
Song, Ruizhuo1; Wei, Qinglai2; Xiao, Wendong1
Source PublicationNEURAL COMPUTING & APPLICATIONS
2016-08-01
Volume27Issue:6Pages:1543-1551
SubtypeArticle
AbstractThis 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.
KeywordAdaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Neuro-dynamic Programming Neural Networks Wireless Sensor Networks Scheduling
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00521-015-1954-4
WOS KeywordTIME NONLINEAR-SYSTEMS ; ADAPTIVE CRITIC DESIGNS ; ONLINE LEARNING CONTROL ; CONTROL SCHEME ; APPROXIMATION ERRORS ; ALGORITHM ; STATE
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000379079600008
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12148
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
Recommended Citation
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.
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