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首页> 外文期刊>Journal of Global Optimization >Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks
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Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks

机译:无线传感器网络中最小功率部分多覆盖的近似算法

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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 epsilon 0, a polynomial-time (1 + epsilon)-approximation.
机译:在本文中,我们考虑无线传感器网络,其中每个传感器的功率是可调节的。 给定一组传感器和一组目标,我们研究了最小化总功率的问题,使得目标的覆盖范围满足部分多覆盖要求,即,至少有一个给定的给定数量的目标 传感器数量(此数字称为目标的覆盖要求)。 这被称为无线传感器网络中的最小功率部分多封面问题(MINPOWERPMC)。 在假设所有目标的覆盖要求是由常数的上限的上限,我们设计了MinPowerPMC问题的第一个PTA,即任何epsilon& 0,多项式 - 时间(1 + epsilon) - 坦默。

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