Hybrid RF mapping and Kalman filtered spring relaxation for sensor network localization

IEEE Sensors Journal

Volumn 12, Issue 5, 2012, Pages 1427-1435

  Seet, Boon Chong ^a   Zhang, Qing ^b   Foh, Chuan Heng ^b   Fong, Alvis C M ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Kalman filtering; radio frequency mapping; self localization; spring relaxation; wireless sensor networks

Indexed keywords

DATA SETS; EXTENSIVE SIMULATIONS; FAST CONVERGENCE; HYBRID SOLUTION; INITIAL ESTIMATE; KALMAN-FILTERING; LIGHT WEIGHT; PROPAGATION CHARACTERISTICS; PROPAGATION ENVIRONMENT; RADIO FREQUENCIES; RELAXATION ALGORITHM; RELAXATION TECHNIQUES; SELF LOCALIZATION; SENSOR NETWORK LOCALIZATION; SPECIALIZED HARDWARE; WIRELESS SENSOR NETWORK (WSN);

ALGORITHMS; HARDWARE; KALMAN FILTERS; MAPPING; RADIO WAVES;

WIRELESS SENSOR NETWORKS;

EID: 84859887633     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2011.2173190     Document Type: Article

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