Clusters Partition and Sensors Configuration for Tracking in Wireless Sensor Networks
نویسندگان
چکیده
For cluster-based tracking in wireless sensor networks (WSN), different decisions on the number of clusters and the sensing radius will effectively affect the lifetime of the network and the tracking accuracy. In this paper, the mean number of the detectable sensors is presented as a trajectory independent quality metric. Energy-quality optimization model is derived and Pareto based solution strategy is proposed. The non-bad solutions (Pareto Fronts) can be used to direct the clusters partition and sensors configuration. Comparing with simulation, more than 80% of these Pareto Fronts are coincident with those in experiment results.
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