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Conference Paper: Can the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful?

TitleCan the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful?
Authors
Keywordscooperative communication
minimax techniques
multi-agent systems
resource allocation
telecommunication computing
Issue Date2019
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1002410/all-proceedings
Citation
Proceedings of 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, 24-28 June 2019, p. 348-353 How to Cite?
AbstractIn resource exchange networks, nodes or agents may cooperate or compete with each other to maximize their own profits. In competitive networks, they may determine their exchange strategy selfishly, which makes it a challenge problem to design fair and efficient cooperation strategy. A popular resource exchanging mechanism called Max-Min Fairness-Based Coalitional (MMFC) is proposed in [1] to solve the problem in competitive networks, however it is still an open problem whether the mechanism is trustful if an agent lies about its resource information. In this paper, we demonstrate the trustfulness of the MMFC mechanism; combining theoretical analyses and numerical examples, we show that an agent cannot gain more benefit by misreporting its resource information.
Persistent Identifierhttp://hdl.handle.net/10722/286406
ISSN

 

DC FieldValueLanguage
dc.contributor.authorShen, Z-
dc.contributor.authorGu, ZQ-
dc.contributor.authorWang, Y-
dc.contributor.authorTian, ZH-
dc.contributor.authorSong, ML-
dc.contributor.authorZhu, CS-
dc.date.accessioned2020-08-31T07:03:26Z-
dc.date.available2020-08-31T07:03:26Z-
dc.date.issued2019-
dc.identifier.citationProceedings of 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, 24-28 June 2019, p. 348-353-
dc.identifier.issn2376-6492-
dc.identifier.urihttp://hdl.handle.net/10722/286406-
dc.description.abstractIn resource exchange networks, nodes or agents may cooperate or compete with each other to maximize their own profits. In competitive networks, they may determine their exchange strategy selfishly, which makes it a challenge problem to design fair and efficient cooperation strategy. A popular resource exchanging mechanism called Max-Min Fairness-Based Coalitional (MMFC) is proposed in [1] to solve the problem in competitive networks, however it is still an open problem whether the mechanism is trustful if an agent lies about its resource information. In this paper, we demonstrate the trustfulness of the MMFC mechanism; combining theoretical analyses and numerical examples, we show that an agent cannot gain more benefit by misreporting its resource information.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1002410/all-proceedings-
dc.relation.ispartofInternational Wireless Communications & Mobile Computing Conference (IWCMC) Proceedings-
dc.rightsInternational Wireless Communications & Mobile Computing Conference (IWCMC) Proceedings. Copyright © IEEE.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectcooperative communication-
dc.subjectminimax techniques-
dc.subjectmulti-agent systems-
dc.subjectresource allocation-
dc.subjecttelecommunication computing-
dc.titleCan the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful?-
dc.typeConference_Paper-
dc.identifier.emailWang, Y: amywang@hku.hk-
dc.identifier.doi10.1109/IWCMC.2019.8766678-
dc.identifier.scopuseid_2-s2.0-85073898359-
dc.identifier.hkuros313496-
dc.identifier.spage348-
dc.identifier.epage353-
dc.publisher.placeUnited States-
dc.identifier.issnl2376-6506-

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