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Brief Announcement: Probabilistic Asynchronous Arbitrary Pattern Formation

Published:25 July 2016Publication History

ABSTRACT

We propose a new probabilistic pattern formation algorithm for oblivious mobile robots that operates in the ASYNC model. Unlike previous work, our algorithm makes no assumptions about the local coordinate systems of robots (the robots do not share a common "North" nor a common "Right"), yet it preserves the ability from any initial configuration that contains at least 5 robots to form any general pattern (and not just patterns that satisfy symmetricity predicates). Our proposal also gets rid of the previous assumption (in the same model) that robots do not pause while moving (so, our robots really are fully asynchronous), and the amount of randomness is kept low -- a single random bit per robot per Look-Compute-Move cycle is used. Our protocol consists in the combination of two phases, a probabilistic leader election phase, and a deterministic pattern formation one. As the deterministic phase does not use chirality, it may be of independent interest in the deterministic context. A noteworthy feature of our algorithm is the ability to form patterns with multiplicity points (except the gathering case due to impossibility results), a new feature in the context of pattern formation that we believe is an important asset of our approach.

References

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          cover image ACM Conferences
          PODC '16: Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing
          July 2016
          508 pages
          ISBN:9781450339643
          DOI:10.1145/2933057

          Copyright © 2016 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 25 July 2016

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          PODC '16 Paper Acceptance Rate40of149submissions,27%Overall Acceptance Rate740of2,477submissions,30%

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