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Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks

JOURNAL OF GLOBAL OPTIMIZATION(2021)

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Abstract
In this paper, we consider the wireless sensor network in which the power of each sensor is adjustable. Given a set of sensors and a set of targets, we study a problem of minimizing the total power such that the coverage of targets meets partial multi-cover requirement , that is, there are at least a given number of targets each covered by a given number of sensors (this number is called the covering requirement for the target). This is called the minimum power partial multi-cover problem (MinPowerPMC) in a wireless sensor network. Under the assumption that the covering requirements for all targets are upper bounded by a constant, we design the first PTAS for the MinPowerPMC problem, that is, for any ε >0 , a polynomial-time (1+ε ) -approximation.
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Key words
Minimum power partial multi cover,Wireless sensor networks,Approximation algorithm,PTAS
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