Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications

Information Sciences

Volumn 329, Issue , 2016, Pages 800-818

  Wu, Mou ^a   Tan, Liansheng ^a   Xiong, Naixue ^b,c  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

^b JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c SOUTHWESTERN OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Data prediction; Environmental monitoring; Least mean square (LMS); Optimal step size; Principal component analysis (PCA); Wireless sensor network (WSN)

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; COMPUTER SYSTEM RECOVERY; COST BENEFIT ANALYSIS; COST EFFECTIVENESS; COSTS; DATA COMPRESSION; DATA HANDLING; ENVIRONMENTAL ENGINEERING; FORECASTING; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; RECOVERY; SENSOR NODES;

CLUSTERED WIRELESS SENSOR NETWORKS; COST-EFFECTIVE SOLUTIONS; DATA PREDICTION; ENVIRONMENTAL MONITORING; LEAST MEAN SQUARE (LMS); OPTIMAL STEP SIZE; PREDICTION ALGORITHMS; WIRELESS SENSOR NETWORK (WSNS);

WIRELESS SENSOR NETWORKS;

EID: 84949670249     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2015.10.004     Document Type: Article

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