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author:

Yao, Pei (Yao, Pei.) [1] | Guo, Longkun (Guo, Longkun.) [2] (Scholars:郭龙坤) | Li, Peng (Li, Peng.) [3] | Lin, Jiawei (Lin, Jiawei.) [4]

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EI

Abstract:

Emerging applications raise the min-max line barrier coverage (LBC) problem that aims to minimize the maximum movement of the sensors for the sake of balancing energy consumption. In this paper, we devise an exact algorithm to optimally solve LBC within a runtime of O(n2), comparing favorably to the previous state-of-art runtime O(n2 logn), where n is the number of sensors. To achieve the improvement, we accelerate the computation of optimum solutions by using a novel approximation algorithm. Numerical experiments demonstrated that our algorithms outperform all the other baselines, including the previous state-of-art algorithm. © 2021 ACM.

Keyword:

Approximation algorithms Energy utilization

Community:

  • [ 1 ] [Yao, Pei]Fuzhou University, Fuzhou, China
  • [ 2 ] [Guo, Longkun]Fuzhou University, Fuzhou, China
  • [ 3 ] [Li, Peng]Google Incorporation, Kirkland; WA, United States
  • [ 4 ] [Lin, Jiawei]Fuzhou University, Fuzhou, China

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Year: 2021

Page: 159-166

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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