Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks
The location of sensors is one of the fundamental design issues in wireless sensor networks. It may affect the fulfillment of the system’s requirements and multiple network performance metrics. Assuming that an inherent uncertainty can be associated with sensor readings, it is very important to consider this issue in the deployment process to anticipate this sensing behavior. This paper addresses the issue of uncertainty-aware sensor networks deployment by exploiting the belief functions reasoning framework. An evidence-based coverage model is proposed and some possible extensions are discussed. The deployment problem is formulated as an optimization problem and possible solutions are discussed. Preliminary experimental analysis demonstrates very promising results of the proposed methodology.
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