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AuthorGouissem, Ala
AuthorAbualsaud, Khalid
AuthorYaacoub, Elias
AuthorKhattab, Tamer
AuthorGuizani, Mohsen
Available date2022-10-17T07:04:12Z
Publication Date2022-01-01
Publication NameIEEE Transactions on Wireless Communications
Identifierhttp://dx.doi.org/10.1109/TWC.2022.3185222
CitationGouissem, A., Abualsaud, K., Yaacoub, E., Khattab, T., & Guizani, M. (2022). Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy. IEEE Transactions on Wireless Communications.‏
ISSN15361276
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85133772349&origin=inward
URIhttp://hdl.handle.net/10576/35155
AbstractA jamming combating power allocation strategy is proposed to secure the data communication in IoT networks. The proposed strategy aims to minimize the worst case jamming effect on the intended transmission under multi channel fading and total power constraints by modelling the problem as a Colonel Blotto game Nash Equibrium (NE). Both Logistic Regression as well as a specifically designed algorithm are used to iteratively and rapidly obtain the equilibrium strategy. The conducted theoretical derivations and Monte Carlo simulations confirm that the proposed approach can secure the IoT network with a limited amount of power and with a number of iterations that is much reduced compared to state-of-the-art techniques.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectanti-jamming
computational efficiency
constrained devices
Fading channels
game theory
Interference
Internet of Things
IoT networks
Jamming
power allocation
resource constrained networks
Resource management
Servers
Wireless communication
TitleAccelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy
TypeArticle
dc.accessType Abstract Only


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