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Open AccessArticle

Context-Aware Local Optimization of Sensor Network Deployment

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Center for Research in Geomatics, Laval University, Quebec, G1V 0A6 QC, Canada
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Department of Electrical Engineering and Computer Engineering, Laval University, Quebec, G1V 0A6 QC, Canada
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Author to whom correspondence should be addressed.
Academic Editor: Dharma P. Agrawal
J. Sens. Actuator Netw. 2015, 4(3), 160-188; https://doi.org/10.3390/jsan4030160
Received: 30 September 2014 / Accepted: 7 July 2015 / Published: 23 July 2015
(This article belongs to the Special Issue Environmental Wireless Sensor Networks)
Wireless sensor networks are increasingly used for tracking and monitoring dynamic phenomena in urban and natural areas. Spatial coverage is an important issue in sensor networks in order to fulfill the needs of sensing applications. Optimization methods are widely used to efficiently distribute sensor nodes in the network to achieve a desired level of coverage. Most of the existing algorithms do not consider the characteristics of the real environment in the optimization process. In this paper, we propose the integration of contextual information in optimization algorithms to improve sensor network coverage. First, we investigate the implication of contextual information in sensor networks. Then, a conceptual framework for local context-aware sensor network deployment optimization method is introduced and related algorithms are presented in detail. Finally, several experiments are carried out to evaluate the validity of the proposed method. The results obtained from these experiments show the effectiveness of our approach in different contextual situations. View Full-Text
Keywords: sensor network deployment; coverage problem; local optimization; context-aware; Voronoi diagram sensor network deployment; coverage problem; local optimization; context-aware; Voronoi diagram
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Argany, M.; Mostafavi, M.A.; Gagné, C. Context-Aware Local Optimization of Sensor Network Deployment. J. Sens. Actuator Netw. 2015, 4, 160-188.

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