DocumentCode :
170443
Title :
Restricted coverage in wireless networks
Author :
Xiaohua Xu ; Min Song
Author_Institution :
EECS Dept., Univ. of Toledo, Toledo, OH, USA
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
558
Lastpage :
564
Abstract :
For wireless networks, coverage with different restrictions that can capture the practical requirements have received great research interests. We will study several restricted coverage problems. The first problem is about K-coverage, i.e., how to deploy wireless nodes such that each target is covered by at least K wireless nodes. We study the problem restricted to linear-K-coverage where there is a line, all targets lie in one side of this line and all wireless nodes lie in the other side. Assume each wireless node is associated with a weight, the objective is to select a minimum weighted subset of nodes such that each target is K-covered. We propose a 3-approximation for this problem by exploring geometric properties. The second problem is called K-road-coverage. Given a road map in a two-dimensional area which contains a set of paths and a set of wireless nodes, the locations of nodes can either be arbitrary or fixed, the objective is to select a minimum number of wireless nodes such that each path can be K-covered. We will reduce the problem to K-coverage and apply the algorithmic results for K-coverage to solve it. Another line of this work is to investigate a well-motivated problem called strongly dominating set, which is intrinsically related to coverage. Given a wireless networking system represented by a digraph G = (V, E⃗). Each wireless node u has a covering disk centering at u with its radius equal to the transmission range of u. We then draw a directed edge uv⃗ in G if u´s corresponding covering disk contains v. A subset U ⊆ V of wireless nodes is a strongly dominating set if every wireless node in V U has both an in-neighbor in U and an out-neighbor in U. The objective is to find a minimum size strongly dominating set. Our method can achieve an approximation factor of (2 + ε).
Keywords :
approximation theory; geometry; radio networks; 3-approximation; geometric properties; in-neighbor; linear-K-coverage; out-neighbor; restricted coverage problems; road-coverage; wireless networking system; wireless nodes; Approximation algorithms; Approximation methods; Computers; Conferences; Polynomials; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6847980
Filename :
6847980
Link To Document :
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