A novel prediction-based strategy for object tracking in sensor networks by mining seamless temporal movement patterns

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 2799-2807

  Lin, Kawuu W ^a   Hsieh, Ming Hua ^b   Tseng, Vincent S ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Data mining; Location prediction; Object tracking; Seamless temporal movement patterns; Sensor networks

Indexed keywords

DATA MINING ALGORITHM; EMPIRICAL EVALUATIONS; ENERGY EFFICIENT; ENERGY SAVING; EXCELLENT PERFORMANCE; HARDWARE DESIGN; LOCATION PREDICTION; MOVEMENT PATTERN; OBJECT TRACKING; OPERATION TIME; PREDICTION ERRORS; REAL NUMBER; RESEARCH ISSUES; RESEARCH PAPERS; SAVE ENERGY; SEAMLESS TEMPORAL MOVEMENT PATTERNS; SIMULATED DATA; SOFTWARE APPROACH; TEMPORAL INFORMATION; TIME INTERVAL; TIME UNITS;

COMPUTER SOFTWARE; DATA MINING; ENERGY CONSERVATION; ENERGY EFFICIENCY; HARDWARE; MINING; NUMBER THEORY; RESEARCH; SENSOR NODES; TELECOMMUNICATION EQUIPMENT;

SENSOR NETWORKS;

EID: 71349087820     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.09.011     Document Type: Article

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