The paper analyzes top-p versus top-1 hypothesis inclusion under sequential testing, proposes a geometry-aware sensor selection algorithm, and validates it on real testbed data for target localization.
Energy efficient target tracking in wireless sensor network using pf-svm (particle filter-support vector machine) technique
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Top-P Sensor Selection for Target Localization
The paper analyzes top-p versus top-1 hypothesis inclusion under sequential testing, proposes a geometry-aware sensor selection algorithm, and validates it on real testbed data for target localization.