Cooperative Spectrum Sensing among Mobile Nodes in Cognitive Radio Distributed Network

Recent advancements in communication have introduced several networking paradigms one of which is Cognitive Radio Network (CRN). CRN is a network of radios that can change its operating parameters based on interaction with the radio environment. Spectrum sensing for Cognitive Radio User (CRU) enables them to make use of unused spectrum portion. Consensus based algorithms are being developed by researchers to attain reliable spectrum sensing for which various techniques are employed. In this paper, the authors implement a consensus based algorithm by using energy detection as sensing technique and by utilizing cooperation among users. The consensus algorithm is applied on Mobile Nodes (MN) using random walk mobility model. Through this implementation an efficient cooperative spectrum sensing technique is proposed. Simulation results show that proposed technique has considerable lower missing detection probabilities and false alarm probabilities in distributed networks.