Title :
Approximations for Minimum Connected Sensor Cover
Author :
Lidong Wu ; Hongwei Du ; Weili Wu ; Deying Li ; Jing Lv ; Wonjun Lee
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
Given a requested area, the Minimum Connected Sensor Cover problem is to find a minimum number of sensors such that their communication ranges induce a connected graph and their sensing ranges cover the requested area. Several polynomial-time approximation algorithms have been designed previously in the literature. Their best known performance ratio is O(r ln n) where r is the link radius of the sensor network and n is the number of sensors. In this paper, we will present two polynomial-time approximation algorithms. The first one is a random algorithm, with probability 1 - ε, producing an approximation solution with performance ratio O(log3 n log log n), independent from r. The second one is a deterministic approximation with performance ratio O(r), independent from n.
Keywords :
approximation theory; computational complexity; deterministic algorithms; graph theory; wireless sensor networks; connected graph; deterministic approximation algorithm; link radius; minimum connected sensor cover; polynomial-time approximation algorithms; probability 1-ε algorithm; random algorithm; wireless sensor network; Algorithm design and analysis; Approximation algorithms; Approximation methods; Educational institutions; Measurement; Sensors; Steiner trees;
Conference_Titel :
INFOCOM, 2013 Proceedings IEEE
Conference_Location :
Turin
Print_ISBN :
978-1-4673-5944-3
DOI :
10.1109/INFCOM.2013.6566910