A jammer-resilient cognitive radio network using evolutionary game theory

Amar Taggu, Manmi Nath, Poulami Banik, N. Marchang
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引用次数: 1

Abstract

Cognitive Radio Network (CRN) is an emerging technology that holds promises for solving the wireless spectrum scarcity problem by allowing secondary users (SU), also called unlicensed users, to coexist with primary user (PU), also called licensed users, without causing any interference to the PU's communication. However, similar to any networking technology, CRNs are susceptible to many attacks, one of which is the jamming attack. A jamming attack can be referred to as an intentional interference attack on wireless channels with an intent to either interfere with the transmissions of SUs or to gain access to the channel for selfish utilization of the channel. This paper presents an evolutionary game theoretic approach to mitigate such a jamming attack. The proposed evolutionary game helps normal secondary users gain fair utilization of channels even though a malicious SU (jammer) could be present in those channels. Results obtained from this study establishes the fact that the proposed algorithm works.
基于进化博弈论的抗干扰认知无线电网络
认知无线网络(Cognitive Radio Network, CRN)是一种新兴技术,它允许二级用户(SU)(也称为非授权用户)与主用户(PU)(也称为授权用户)共存,而不会对主用户(PU)的通信造成任何干扰,有望解决无线频谱短缺问题。然而,与任何网络技术一样,crn容易受到多种攻击,其中之一就是干扰攻击。干扰攻击可以被称为对无线信道的故意干扰攻击,其目的是干扰单个单元的传输或获得对信道的访问以自私地利用该信道。本文提出了一种进化博弈论方法来缓解这种干扰攻击。提出的进化博弈可以帮助正常的辅助用户获得合理的信道利用率,即使这些信道中可能存在恶意SU(干扰器)。研究结果表明,所提出的算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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