An evolutionary game theoretic approach for cooperative spectrum sensing
Author | Salama A.M. |
Author | Alali A. |
Author | Mohamed A. |
Available date | 2022-04-21T08:58:28Z |
Publication Date | 2016 |
Publication Name | IEEE Wireless Communications and Networking Conference, WCNC |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/WCNC.2016.7564914 |
Abstract | Many spectrum sensing techniques have been proposed to allow a secondary user (SU) to utilize a primary user's (PU) spectrum through opportunistic access. However, few of them have considered the tradeoff between accuracy and energy consumption by taking into account the selfishness of the (SUs) in a distributed network. In this work, we consider spectrum sensing as a game where the payoff is the throughput of each SU/player. Each SU chooses between two actions, parallel individual sensing and sequential cooperative sensing techniques. Using those techniques, each SU will distributively decide the existence of the PU. Due to the repetitive nature of our game, we model it using evolutionary game (EG) theory which provides a suitable model that describes the behavioral evolution of the actions taken by the SUs. We address our problem in two cases, when the players are homogeneous and heterogeneous respectively. For the sake of stability, we find the equilibria that lead to evolutionary stable strategies (ESS) by proving that our system is evolutionary asymptotically stable, in both cases, under certain conditions on the sensing time and the false alarm probability. 2016 IEEE. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Energy utilization Wireless telecommunication systems Asymptotically stable Co-operative spectrum sensing Cooperative sensing Distributed networks Evolutionary stable strategies False alarm probability Opportunistic access Spectrum sensing techniques Game theory |
Type | Conference Paper |
Volume Number | 2016-September |
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Computer Science & Engineering [2288 items ]