当前位置: X-MOL 学术J. Glob. Optim. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks
Journal of Global Optimization ( IF 1.8 ) Pub Date : 2021-05-19 , DOI: 10.1007/s10898-021-01033-y
Yingli Ran , Xiaohui Huang , Zhao Zhang , Ding-Zhu Du

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 \(\varepsilon >0\), a polynomial-time \((1+\varepsilon )\)-approximation.



中文翻译:

无线传感器网络中最小功率部分多覆盖的近似算法

在本文中,我们考虑了其中每个传感器的功率均可调的无线传感器网络。给定一组传感器和一组目标,我们研究使总功率最小化的问题,以使目标的覆盖范围满足部分多重覆盖的要求,即,至少存在给定数量的目标,每个目标均被给定覆盖传感器的数量(此数量称为目标的覆盖要求)。在无线传感器网络中,这称为最小功率部分多重覆盖问题(MinPowerPMC)。假设所有目标的覆盖要求均以一个常数为上限,我们针对MinPowerPMC问题(即对于任何\(\ varepsilon> 0 \),多项式时间设计第一个PTAS。\(((1+ \ varepsilon)\) -近似值

更新日期:2021-05-19
down
wechat
bug