Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy

Authors

Ala Gouissem, Qatar University
Khalid Abualsaud, Qatar UniversityFollow
Elias Yaacoub, Qatar University
Tamer Khattab, Qatar University
Mohsen Guizani, Mohamed bin Zayed University of Artificial IntelligenceFollow

Document Type

Article

Publication Title

IEEE Transactions on Wireless Communications

Abstract

A 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.

First Page

1

Last Page

1

DOI

10.1109/TWC.2022.3185222

Publication Date

6-29-2022

Keywords

anti-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

Comments

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Recommended Citation

A. Gouissem, K. Abualsaud, E. Yaacoub, T. Khattab and M. Guizani, "Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy," in IEEE Transactions on Wireless Communications, 2022, doi: 10.1109/TWC.2022.3185222.