Dynamic node activation in networks of rechargeable sensors
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TL;DR
This work considers a network of rechargeable sensors, deployed redundantly in a random sensing environment, and addresses the problem of how sensor nodes should be activated dynamically so as to maximize a generalized system performance objective.
Abstract
Abstract — We consider a network of rechargeable sensors, deployed redundantly in a random sensing environment, and address the problem of how sensor nodes should be activated dynamically so as to maximize a generalized system performance objective. The optimal sensor activation problem is a very difficult decision question, and under Markovian assumptions on the sensor discharge/recharge periods, it represents a complex semi-Markov decision problem. With the goal of developing a practical, distributed but efficient solution to this complex, global optimization problem, we first consider the activation question for a set of sensor nodes whose coverage areas overlap completely. For this scenario, we show analytically that there exists a simple threshold activation policy that achieves a performance within a factor of 3 4
