Abstract
We study the minimum connected sensor cover problem (\(\mathsf {MIN}\)-\(\mathsf {CSC}\)) and the budgeted connected sensor cover (\(\mathsf {Budgeted}\)-\(\mathsf {CSC}\)) problem, both motivated by important applications 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 \(\mathsf {MIN}\)-\(\mathsf {CSC}\), 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 \(\mathsf {Budgeted}\)-\(\mathsf {CSC}\) 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.
Research supported in part by the National Basic Research Program of China Grant 2015CB358700, 2011CBA00300, 2011CBA00301, the National Natural Science Foundation of China Grant 61202009, 61033001, 61361136003.
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Huang, L., Li, J., Shi, Q. (2015). Approximation Algorithms for the Connected Sensor Cover Problem. In: Xu, D., Du, D., Du, D. (eds) Computing and Combinatorics. COCOON 2015. Lecture Notes in Computer Science(), vol 9198. Springer, Cham. https://doi.org/10.1007/978-3-319-21398-9_15
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