Wireless Sensor Network Aided Cognitive Femtocell Networks

The radio spectrum is underutilized and salient application of cognitive radio (CR) is to capitalize the spectrum resources more effectively by opportunistically utilizing radio spectrum not utilized by primary networks, referred to as spectrum holes. When facilited by a sensor network, the cognitive femtocell will be able to use frequencies other than the macrocell network and also, enhance its power to cover macrocell edge areas. The foremost objectives of the wireless sensor network routing protocol design are stabilized network energy consumption and extending the entire network lifespan. In this paper, we analyze the effectiveness of Low Energy Adaptive Clustering Hierarchy (LEACH) protocol in cluster-head selection. It takes node's residual energy and position information into account, the selection method of the threshold for electing cluster-head is optimized, normal nodes select the optimal cluster-head based on the cost function which improves optimal cluster-head selection strategy. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.