Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141281
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dc.contributor.authorWang, Wenboen_US
dc.contributor.authorKwasinski, Andresen_US
dc.contributor.authorNiyato, Dusiten_US
dc.contributor.authorHan, Zhuen_US
dc.date.accessioned2020-06-05T08:06:07Z-
dc.date.available2020-06-05T08:06:07Z-
dc.date.issued2018-
dc.identifier.citationWang, W., Kwasinski, A., Niyato, D., & Han, Z. (2018). Learning for robust routing based on stochastic game in cognitive radio networks. IEEE Transactions on Communications, 66(6), 2588-2602. doi:10.1109/TCOMM.2018.2799616en_US
dc.identifier.issn0090-6778en_US
dc.identifier.urihttps://hdl.handle.net/10356/141281-
dc.description.abstractThis paper studies the problem of robust spectrum-aware routing in a multi-hop, multi-channel Cognitive Radio Network (CRN) with the presence of malicious nodes in the secondary network. The proposed routing scheme models the interaction among the Secondary Users (SUs) as a stochastic game. By allowing the backward propagation of the path utility information from the next-hop nodes, the stochastic routing game is decomposed into a series of stage games. The best-response policies are learned through the process of smooth fictitious play, which is guaranteed to converge without flooding of the information about the local utilities and behaviors. To address the problem of mixed insider attacks with both routing-toward-primary and sink-hole attacks, the trustworthiness of the neighbor nodes is evaluated through a multi-arm bandit process for each SU. The simulation results show that the proposed routing algorithm is able to enforce the cooperation of the malicious SUs and reduce the negative impact of the attacks on the routing selection process.en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Communicationsen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectComputer Science - Networking and Internet Architectureen_US
dc.subjectComputer Science - Networking and Internet Architectureen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleLearning for robust routing based on stochastic game in cognitive radio networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1109/TCOMM.2018.2799616-
dc.identifier.scopus2-s2.0-85041423861-
dc.identifier.issue6en_US
dc.identifier.volume66en_US
dc.identifier.spage2588en_US
dc.identifier.epage2602en_US
dc.subject.keywordsCognitive Radio Networksen_US
dc.subject.keywordsSpectrum-aware Routingen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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