A Self-stabilizing 1-maximal Independent Set Algorithm

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We consider the 1-maximal independent set (1-MIS) problem: given a graph G=(V, E), our goal is to find a 1-maximal independent set (1-MIS) of a given network G, that is, a maximal independent set (MIS) S ⊂ V of G such that S ∪ {v, w} ∖ {u} is not an independent set for any nodes u ∈ S, and v, w ∉ S (v ≠ w). We give a silent, self-stabilizing, and asynchronous distributed algorithm to construct a 1-MIS on a network of any topology. We assume the processes have unique identifiers and the scheduler is weakly-fair and distributed. The time complexity, i.e., the number of rounds to reach a legitimate configuration in the worst case of the proposed algorithm is O(nD), where n is the number of processes in the network and D is the diameter of the network. We use a composition technique called loop composition [Datta et al., 2017] to iterate the same procedure consistently, which results in a small space complexity, O(log n) bits per process.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.29(2021) (online)DOI http://dx.doi.org/10.2197/ipsjjip.29.247------------------------------

We consider the 1-maximal independent set (1-MIS) problem: given a graph G=(V, E), our goal is to find a 1-maximal independent set (1-MIS) of a given network G, that is, a maximal independent set (MIS) S ⊂ V of G such that S ∪ {v, w} ∖ {u} is not an independent set for any nodes u ∈ S, and v, w ∉ S (v ≠ w). We give a silent, self-stabilizing, and asynchronous distributed algorithm to construct a 1-MIS on a network of any topology. We assume the processes have unique identifiers and the scheduler is weakly-fair and distributed. The time complexity, i.e., the number of rounds to reach a legitimate configuration in the worst case of the proposed algorithm is O(nD), where n is the number of processes in the network and D is the diameter of the network. We use a composition technique called loop composition [Datta et al., 2017] to iterate the same procedure consistently, which results in a small space complexity, O(log n) bits per process.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.29(2021) (online)DOI http://dx.doi.org/10.2197/ipsjjip.29.247------------------------------

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詳細情報 詳細情報について

  • CRID
    1050850412738215808
  • NII論文ID
    170000184443
  • NII書誌ID
    AN00116647
  • ISSN
    18827764
  • Web Site
    http://id.nii.ac.jp/1001/00210262/
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles

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