A Novel Method for Probabilistic Coverage Estimation of Sensor Networks Based on 3D Vector Representation in Complex Urban Environments

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20 minutes
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Tags:
Wireless Sensor Networks (WSNs)deploymentoptimizationprobabilistic coveragevector representation
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0
Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. A sensor in WSNs covers only a limited region, depending on its sensing and communicating ranges, as well as the environment configuration. For efficient deployment of sensors in a WSN the coverage estimation is an important issue. Probabilistic methods are among the most accurate models proposed for sensor coverage estimation. However, most of these methods are based on raster representation of the environment for coverage estimation which limits their quality. In this paper, we propose a probabilistic method for the estimation of the coverage of a sensor network based on 3D vector representation of the environment.
Participant
Université Laval
Participant
Université Laval

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