Title :
An Energy-Driven Adaptive Cluster-Head Rotation Algorithm for Cognitive Radio Network
Author :
Xu, Guisen ; Tan, Xuezhi ; Wei, Shouming ; Guo, Shizeng ; Wang, Bin
Author_Institution :
Dept. of Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
Abstract :
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.
Keywords :
cognitive radio; pattern clustering; statistical analysis; telecommunication network topology; EDAC; EDCRN; LEACH; cluster based topology; cluster head node real time energy load; cluster member node; cognitive radio network; energy consumption; energy driven adaptive cluster head rotation algorithm; energy efficient topology control method; low energy adaptive clustering hierarchy; network lifetime; rotation energy threshold; Ad hoc networks; Clustering algorithms; Cognitive radio; Energy consumption; Heuristic algorithms; Wireless sensor networks; Cognitive radio network; Energy-Driven; Rotating; clustering;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.42
