Energy Efficient Clustering Approach for Cooperative Spectrum Sensing in Cognitive Radio Networks
Ahmed S. B. Kozal, Madjid Merabti, Fayçal Bouhafs · 2012
Spectrum sensing is the key element in cognitive radio networks for detecting the primary users. Due to the destructive conditions of sensing channel such as multipath fading and shadowing, local sensing is not fitting the requirements for reliable detection. Therefore, cooperative spectrum sensing is introduced to detect the primary user more accurately. Clustering approach is considered as an effective method that used in cooperative spectrum sensing to tackle the degradation in the performance of spectrum sensing due to fading and shadowing of reporting channel, and also to reduce the control channel overhead when the number of cooperative users becomes very large. However, most existing cluster-based cooperative spectrum sensing approaches have only been focused on the sensing performance, whereas the power consumption remains rarely studied. In this paper, we propose a cluster-based cooperative spectrum sensing scheme using Centralised Low Energy Adaptive Clustering Hierarchy (LEACH-C) protocol which can reduce the power consumption and prolong the network's lifetime.