Abstract

Considering a communication topology of a wireless network modeled by a graph where an edge exists between two nodes if they are within each other's communication range. A subset UU of nodes is a dominating set if each node is either in UU or adjacent to some node in UU. Assume each node has a disparate communication range and is associated with a positive weight, we present a randomized algorithm to find a min-weight dominating set. Considering any orientation of the graph where an arc uv→\overrightarrow{uv} exists if the node vv lies in uu's communication range. A subset UU of nodes is a strongly dominating set if every node except UU has both in-neighbor(s) and out-neighbor(s) in UU. We present a polynomial-time algorithm to find a strongly dominating set of size at most (2+ε)(2+ε) times of the optimum. We also investigate another related problem called KK-Coverage. Given are a set D{\cal D} of disks with positive weight and a set P{\cal P} of nodes. Assume all input nodes lie below a horizontal line ll and all input disks lie above this line ll in the plane. The objective is to find a min-weight subset D′⊆D{\cal D}'\subseteq {\cal D} of disks such that each node is covered at least KK disks in D′{\cal D}'. We propose a novel two-approximation algorithm for this problem.

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