Cooperative spectrum sensing using hybrid IWOPSO algorithm in cognitive radio networks

Abstract

Cognitive Radio (CR) is an emerging technology to combat the spectrum scarcity issues. This is achieved by consistently sensing the spectrum, and detecting the under-utilized frequency bands without causing undue interference to the primary user (PU). However, the presence of malicious users/attackers degrades the system performance. So, we propose an improved soft decision fusion (SDF) based cooperative spectrum sensing (CSS) scheme in which the hybrid invasive weed optimization and particle swarm optimization (hybrid IWOPSO) algorithm is used as global optimization method to optimize the weight coefficients to maximize the detection probability in the presence of primary user emulation attack (PUEA). The efficacy of our proposed algorithm is validated by comparing with the other existing SDF based CSS schemes.