Minimizing the total cost of barrier coverage in a linear domain
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
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Detail(s)
Original language | English |
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Pages (from-to) | 434–457 |
Journal / Publication | Journal of Combinatorial Optimization |
Volume | 36 |
Issue number | 2 |
Online published | 16 May 2018 |
Publication status | Published - Aug 2018 |
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Abstract
Barrier coverage, as one of the most important applications of wireless sensor network (WSNs), is to provide coverage for the boundary of a target region. We study the barrier coverage problem by using a set of n sensors with adjustable coverage radii deployed along a line interval or circle. Our goal is to determine a range assignment R = (r1, r2,..., rn) of sensors such that the line interval or circle is fully covered and its total cost C(R) = ∑ni=1 riα is minimized. For the line interval case, we formulate the barrier coverage problem of line-based offsets deployment, and present two approximation algorithms to solve it. One is an approximation algorithm of ratio 4/3 runs in O(n2) time, while the other is a fully polynomial time approximation scheme (FPTAS) of computational complexity O(n2/ε). For the circle case, we optimally solve it when α = 1 and present a 2(π/2)α-approximation algorithm when α > 1. Besides, we propose an integer linear programming (ILP) to minimize the total cost of the barrier coverage problem such that each point of the line interval is covered by at least k sensors.
Research Area(s)
- Approximation algorithm, Barrier coverage, Range assignment, Wireless sensor networks
Citation Format(s)
Minimizing the total cost of barrier coverage in a linear domain. / Zhang, Xiao; Fan, Haosheng; Lee, Victor C. S.; Li, Minming; Zhao, Yingchao; Liu, Chuang.
In: Journal of Combinatorial Optimization, Vol. 36, No. 2, 08.2018, p. 434–457.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review