Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks |
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Authors: | Theofanis P Lambrou Christos G Panayiotou Santiago Felici Baltasar Beferull |
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Affiliation: | (1) Department of Computer Science, OBR Center of Distributed and Mobile Computing, University of Cincinnati, Cincinnati, OH 45221 0030, USA;(2) University of Cincinnati, Cincinnati, OH 45221 0030, USA |
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Abstract: | Reliable monitoring of a large area with a Wireless Sensor Network (WSN) typically requires a very large number of stationary
nodes, implying a prohibitive cost and excessive (radio) interference. Our objective is to develop an efficient system that
will employ a smaller number of stationary nodes that will collaborate with a small set of mobile nodes in order to improve
the area coverage. The main strength of this collaborative architecture stems from the ability of the mobile sensors to sample
areas not covered (monitored) by stationary sensors. An important element of the proposed system is the ability of each mobile
node to autonomously decide its path based on local information (i.e. a combination of self collected measurements and information gathered by
stationary sensors in the mobile’s communication range), which is essential in the context of large, distributed WSNs. The
contribution of the paper is the development of a simple distributed algorithm that allows mobile nodes to autonomously navigate
through the field and improve the area coverage. We present simulation results based on a real sparse stationary WSN deployment
for the coverage improvement scenario. |
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