A PTAS for minimum weighted connected vertex cover $$P_3$$ P 3 problem in 3-dimensional wireless sensor networks
Limin Wang (),
Wenxue Du (),
Zhao Zhang () and
Xiaoyan Zhang ()
Additional contact information
Limin Wang: Nanjing Normal University
Wenxue Du: Anhui University
Zhao Zhang: Zhejiang Normal University
Xiaoyan Zhang: Nanjing Normal University
Journal of Combinatorial Optimization, 2017, vol. 33, issue 1, No 7, 106-122
Abstract:
Abstract Given a connected and weighted graph $$G=(V, E)$$ G = ( V , E ) with each vertex v having a nonnegative weight w(v), the minimum weighted connected vertex cover $$P_{3}$$ P 3 problem $$(MWCVCP_{3})$$ ( M W C V C P 3 ) is required to find a subset C of vertices of the graph with minimum total weight, such that each path with length 2 has at least one vertex in C, and moreover, the induced subgraph G[C] is connected. This kind of problem has many applications concerning wireless sensor networks and ad hoc networks. When homogeneous sensors are deployed into a three-dimensional space instead of a plane, the mathematical model for the sensor network is a unit ball graph instead of a unit disk graph. In this paper, we propose a new concept called weak c-local and give the first polynomial time approximation scheme (PTAS) for $$MWCVCP_{3}$$ M W C V C P 3 in unit ball graphs when the weight is smooth and weak c-local.
Keywords: PTAS; Connected vertex cover $$P_3$$ P 3; Smooth weights; Weak c-local; Unit ball graph (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s10878-015-9937-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:33:y:2017:i:1:d:10.1007_s10878-015-9937-z
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878
DOI: 10.1007/s10878-015-9937-z
Access Statistics for this article
Journal of Combinatorial Optimization is currently edited by Thai, My T.
More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().