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Wireless Sensor Networks (WSN) invariably display non-uniform energy usage distribution. This is mainly induced by the sink centric traffic or by non-uniform distribution of sensing activities and manifests as energy holes throughout the WSN. Holes can threaten the availability of the WSN by network partitioning and sensing voids. They are hard to predict, and consequently, proper function of the network requires systematic maintenance. Unfortunately, existing approaches do not systematically profile holes and focus only on one specific type of holes. In this paper, the authors present new distributed energy profiling algorithms for generalized types of energy holes.
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