Design and evaluation of an adaptive sampling strategy for a wireless air pollution sensor network

Proceedings - Conference on Local Computer Networks, LCN

Volumn , Issue , 2011, Pages 1003-1010

  Gupta, Manik ^a   Shum, Lamling Venus ^b   Bodanese, Eliane ^a   Hailes, Stephen ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

adaptive algorithms; air pollution monitoring; exponential double smoothing; sampling; Wireless Sensor Networks

Indexed keywords

ADAPTIVE SAMPLING; AIR POLLUTION MONITORING; CHANGE DETECTION; COMMUNICATION OVERHEADS; DATA FIDELITY; DATA SETS; DOUBLE SAMPLING; ENVIRONMENTAL CONDITIONS; EXPONENTIAL DOUBLE SMOOTHING; EXPONENTIALLY WEIGHTED MOVING AVERAGE; IRREGULAR DATA; LOW MEMORY; PERFORMANCE METRICS; POLLUTION SENSORS; PREDICTION METHODS; PREDICTION MODEL; RESOURCE-CONSTRAINED; SAMPLING RATES; TEMPORAL DATA; URBAN ROAD TRAFFIC; WIRELESS SENSOR;

AIR POLLUTION; CARBON MONOXIDE; FORECASTING; MATHEMATICAL MODELS; SAMPLING; SENSOR NODES; SIGNAL DETECTION; TELECOMMUNICATION NETWORKS;

ADAPTIVE ALGORITHMS;

EID: 84856143980     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LCN.2011.6115154     Document Type: Conference Paper

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