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  1. 学術雑誌論文
  2. 5 技術(工学)

Move-optimal partial gathering of mobile agents in asynchronous trees

http://hdl.handle.net/10228/00007612
http://hdl.handle.net/10228/00007612
e3f8eac0-2c85-4b33-b04f-3a15c3ab5190
名前 / ファイル ライセンス アクション
j.tcs.2017.09.016.pdf j.tcs.2017.09.016.pdf (1.2 MB)
Item type 学術雑誌論文 = Journal Article(1)
公開日 2020-02-13
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル Move-optimal partial gathering of mobile agents in asynchronous trees
言語
言語 eng
著者 柴田, 将拡

× 柴田, 将拡

WEKO 25091
e-Rad 10806095
Scopus著者ID 55538897600
ORCiD 0000-0003-1414-8033
九工大研究者情報 100001003

en Shibata, Masahiro

ja 柴田, 将拡

ja-Kana シバタ, マサヒロ


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Ooshita, Fukuhito

× Ooshita, Fukuhito

WEKO 26815

Ooshita, Fukuhito

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Kakugawa, Hirotsugu

× Kakugawa, Hirotsugu

WEKO 26816

Kakugawa, Hirotsugu

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Masuzawa, Toshimitsu

× Masuzawa, Toshimitsu

WEKO 26817

Masuzawa, Toshimitsu

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抄録
内容記述タイプ Abstract
内容記述 In this paper, we consider the partial gathering problem of mobile agents in asynchronous tree networks. The partial gathering problem is a generalization of the classical gathering problem, which requires that all the agents meet at the same node. The partial gathering problem requires, for a given positive integer g, that each agent should move to a node and terminate so that at least g agents should meet at each of the nodes they terminate at. The requirement for the partial gathering problem is weaker than that for the (well-investigated) classical gathering problem, and thus, we clarify the difference on the move complexity between them. We consider two multiplicity detection models: weak multiplicity detection and strong multiplicity detection models. In the weak multiplicity detection model, each agent can detect whether another agent exists at the current node or not but cannot count the exact number of the agents. In the strong multiplicity detection model, each agent can count the number of agents at the current node. In addition, we consider two token models: non-token model and removable token model. In the non-token model, agents cannot mark the nodes or the edges in any way. In the removable-token model, each agent initially leaves a token on its initial node, and agents can remove the tokens. Our contribution is as follows. First, we show that for the non-token model agents require Ω(kn) total moves to solve the partial gathering problem, where n is the number of nodes and k is the number of agents. Second, we consider the weak multiplicity detection and non-token model. In this model, for asymmetric trees, by a previous result agents can achieve the partial gathering in O(kn) total moves, which is asymptotically optimal in terms of total moves. In addition, for symmetric trees we show that there exist no algorithms to solve the partial gathering problem. Third, we consider the strong multiplicity detection and non-token model. In this model, for any trees we propose an algorithm to achieve the partial gathering in O(kn) total moves, which is asymptotically optimal in terms of total moves. At last, we consider the weak multiplicity detection and removable-token model. In this model, we propose an algorithm to achieve the partial gathering in O(gn) total moves. Note that in this model, agents require Ω(gn) total moves to solve the partial gathering problem. Hence, the second proposed algorithm is also asymptotically optimal in terms of total moves.
書誌情報 Theoretical Computer Science

巻 705, p. 9-30, 発行日 2017-09-27
出版社
出版者 Elsevier
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 info:doi/10.1016/j.tcs.2017.09.016
NCID
収録物識別子タイプ NCID
収録物識別子 AA00862688
ISSN
収録物識別子タイプ ISSN
収録物識別子 0304-3975
著作権関連情報
権利情報 Copyright (c) 2017 The Authors. Published by Elsevier B.V.
著作権関連情報
権利情報 This is an open access article under the CC BY license
著作権関連情報
権利情報 http://creativecommons.org/licenses/by/4.0/
キーワード
主題Scheme Other
主題 Distributed system
キーワード
主題Scheme Other
主題 Mobile agent
キーワード
主題Scheme Other
主題 Gathering problem
キーワード
主題Scheme Other
主題 Partial gathering problem
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/100001003_ja.html
論文ID(連携)
値 10309739
連携ID
値 8118
情報源
識別子タイプ DOI
関連識別子 https://doi.org/10.1016/j.tcs.2017.09.016
関連名称 https://doi.org/10.1016/j.tcs.2017.09.016
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