Approximation Algorithms for the Connected Sensor Cover Problem
May 01, 2015 Β· Declared Dead Β· π International Computing and Combinatorics Conference
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Authors
Lingxiao Huang, Jian Li, Qicai Shi
arXiv ID
1505.00081
Category
cs.DS: Data Structures & Algorithms
Citations
19
Venue
International Computing and Combinatorics Conference
Last Checked
3 months ago
Abstract
We study the minimum connected sensor cover problem (MIN-CSC) and the budgeted connected sensor cover (Budgeted-CSC) problem, both motivated by important applications (e.g., reduce the communication cost among sensors) in wireless sensor networks. In both problems, we are given a set of sensors and a set of target points in the Euclidean plane. In MIN-CSC, our goal is to find a set of sensors of minimum cardinality, such that all target points are covered, and all sensors can communicate with each other (i.e., the communication graph is connected). We obtain a constant factor approximation algorithm, assuming that the ratio between the sensor radius and communication radius is bounded. In Budgeted-CSC problem, our goal is to choose a set of $B$ sensors, such that the number of targets covered by the chosen sensors is maximized and the communication graph is connected. We also obtain a constant approximation under the same assumption.
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