Maximized secrecy rate based power allocation for wireless cooperative network with control jamming

In this paper, we propose efficient power allocation techniques using both convex optimization (using Lagrange multiplier method) and a soft evolutionary approach (using Differential Evolution (DE) algorithm) to optimize both the relay and jammer powers in addition to an increase in the system performance in terms of secrecy rate. Here, we consider a cooperative wireless network with control jamming comprising of a source-destination pair with a set of relay nodes in the presence of single and multiple eavesdroppers. Optimal relay node is selected based on the SNR received at each relay, which transmits the data to the destination using decode and forward strategy. Amongst the remaining nodes, selection of jammer is done based on the SNR value of the relay to eavesdropper link. The proposed power allocation schemes are compared with equal power allocation policy for using the Monte-Carlo simulation study and these schemes are found to be superior in terms of average secrecy rate.