2006
DOI: 10.1007/11945529_15
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Incremental Construction of k-Dominating Sets in Wireless Sensor Networks

Abstract: Given a graph G, a k-dominating set of G is a subset S of its vertices with the property that every vertex of G is either in S or has at least k neighbors in S. We present a new incremental local algorithm to construct a k-dominating set. The algorithm constructs a monotone family of dominating setsis an i-dominating set. For unit disk graphs, the size of each of the resulting i-dominating sets is at most six times the optimal.

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Cited by 14 publications
(15 citation statements)
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References 26 publications
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“…Note that in this paper we use landmark-based coordinates for the energy efficient step, but any other coordinate system may be used instead, including GPS localization. Therefore, we intend to explore another coordinate system other than the landmark-based one in order to avoid the preprocessing flooding step by applying dominating set [26]. …”
Section: Resultsmentioning
confidence: 99%
“…Note that in this paper we use landmark-based coordinates for the energy efficient step, but any other coordinate system may be used instead, including GPS localization. Therefore, we intend to explore another coordinate system other than the landmark-based one in order to avoid the preprocessing flooding step by applying dominating set [26]. …”
Section: Resultsmentioning
confidence: 99%
“…The problem of distributively constructing the k-dominating sets and an incremental distributed algorithm for the same has been dealt in [23]. The main idea of their algorithm is that first a 1-dominating set is formed by building a MIS.…”
Section: Kmcdsbased Fault-tolerant Virtual Backbone Construction:mentioning
confidence: 99%
“…For the special case of unit disk graphs, various approximation results exist, see for example [8,22,31]. In this specific graph model, a unit disk can contain at most five independent nodes, which leads to a constant approximation ratio for the minimum dominating set problem [27].…”
Section: Related Workmentioning
confidence: 99%