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Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy
IEEE Transactions on Wireless Communications
  • Ala Gouissem, Qatar University
  • Khalid Abualsaud, Qatar University
  • Elias Yaacoub, Qatar University
  • Tamer Khattab, Qatar University
  • Mohsen Guizani, Mohamed bin Zayed University of Artificial Intelligence
Document Type

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.

Publication Date
  • 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

IR Deposit conditions:

OA version (pathway a) Accepted version

No embargo

When accepted for publication, set statement to accompany deposit (see policy)

Must link to publisher version with DOI

Publisher copyright and source must be acknowledged

Citation Information
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.