An Energy-Driven Adaptive Cluster-Head Rotation Algorithm for Cognitive Radio Network

摘要

Cluster-based topology is an energy-efficient topology control method in cognitive radio networks. The cluster-head node depletes energy faster than cluster-member node and the rotation of cluster-head node is needed to balance the energy consumption for the whole network. In this paper, EDCRN (Energy-Driven Cognitive Radio Network) is presented, which rotation energy threshold is estimated using cluster-head node real-time energy load. The simulation result show that comparing with LEACH (Low-Energy Adaptive Clustering Hierarchy) and EDAC, EDCRN can realize the more network lifetime than the others.