The Defense Against Jamming Attack in Cognitive Radio Networks: Energy Efficiency Management Perspective

被引：0
作者：
D B.S. [1 ]
Jaichandran R. [2 ]
Bharathi P.S. [3 ]
Meenakshi B. [4 ]
Anushya A. [5 ]
Devi V.B. [6 ]
机构：
[1] Associate Professor, Department of Electronics and Communication Engineering, BNM Institute of Technology, Bengaluru, Karnataka
[2] Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation (Deemed to be University), Chengalpattu, Tamilnadu
[3] Department of Electronics and Communication Engineering, Saveetha School of Engineering, Chennai, Tamilnadu
[4] Department of Electrical and Electronics Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu
[5] Department of Computer Science, St. Jerome's College, Nagercoil, Tamilnadu
[6] Associate Professor, Department of Information Technology, Sri Sairam Institute of Technology, Chennai, , Tamilnadu
来源：
D, Bhuvana Suganthi (bhuvanasuganthi@gmail.com) | 1600年 / Elsevier B.V.卷 / 82期
关键词：
Channel Allocation; Cognitive radio; Energy efficiency; Jamming; Power Control; Resource allocation; Stackelberg game;
D O I：
10.1016/j.micpro.2020.103816
中图分类号：
学科分类号：
摘要：
Cognitive Radio Networks (CRN) learning perspective and inherently reconfigurable capability generate a group of novel safety problems. Here, let's analyze the jamming security issue with a smart jammer, which could rapidly study the broadcast power of the users also flexibly regulate their broadcast power towards maximizing the destructive effects. Additionally, the Secondary User (SU) spends energy while switching to next frequency channel, cause degradation of the system performances with respect to energy effectiveness. Here, we explore the use of Stackelberg game to achieve jamming resilient radio transmission and power control strategy of an SU. The optimal power allocation is carried out with the iterative water-filling algorithm (WFA) and Channel Allocation based on Stackelberg Game algorithm (CASG) exhibits the Stackelberg equilibrium and the min-max/max-min best power allocation over the recreation of the various game situations. © 2021
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