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Approximation Algorithms for the Set Cover Formation by Oblivious Mobile Robots

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Principles of Distributed Systems (OPODIS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8878))

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Abstract

Given n robots and n target points on the plane, the minimum set cover formation (SCF) problem requires the robots to form a set cover by the minimum number of robots. In previous formation problems by mobile robots, such as gathering and pattern formation, the problems consist only of the mobile robots, and there are no points fixed in the environment. In addition, the problems do not require a control of the number of robots constructing the formation. In this paper, we first introduce the formation problem in which robots move so that they achieve a desired deployment with the minimum number of robots for a given set of positions of fixed points.

Since the minimum set cover problem with disks in the centralized settings is NP-hard, our goal is to propose approximation algorithms for the minimum SCF problem. First, we show a minimal SCF algorithm from any initial configuration in the asynchronous system. Moreover, we propose an 8-approximation SCF algorithm in the semi-synchronous system for an initial configuration with a low symmetricity. This approximation algorithm achieves 2(1 + 1/l)2 approximation ratio for an initial configuration with the lowest symmetricity (l ≥ 1).

This work was supported in part by KAKENHI No. 26330015 and a Grant-in-Aid for Scientific Research on Innovative Areas gMolecular Roboticsh (No. 24104519) of The Ministry of Education, Culture, Sports, Science, and Technology, Japan.

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Izumi, T., Kamei, S., Yamauchi, Y. (2014). Approximation Algorithms for the Set Cover Formation by Oblivious Mobile Robots. In: Aguilera, M.K., Querzoni, L., Shapiro, M. (eds) Principles of Distributed Systems. OPODIS 2014. Lecture Notes in Computer Science, vol 8878. Springer, Cham. https://doi.org/10.1007/978-3-319-14472-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-14472-6_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14471-9

  • Online ISBN: 978-3-319-14472-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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