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

Abstract

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.