Title :
Optimal Model for Energy-Efficient Clustering in Wireless Sensor Networks Using Global Simulated Annealing Genetic Algorithm
Author :
Zhang, Jianming ; Lin, Yaping ; Zhou, Cuihong ; Ouyang, Jingcheng
Author_Institution :
Coll. of Comput. & Commun., Hunan Univ., Changsha
Abstract :
Since the operations of sensors in wireless sensor networks (WSNs) mainly rely on battery energy, energy consumption becomes an important issue. In this paper, we use a global simulated annealing genetic algorithm (GSAGA) to create energy efficient clusters for routing in WSNs. The simulation results show that the proposed GSAGA algorithm has higher efficiency and can achieve better network lifetime and data delivery at the base station than a few existing cluster-based routing protocols.
Keywords :
genetic algorithms; simulated annealing; telecommunication network routing; wireless sensor networks; cluster-based routing protocols; data delivery; energy-efficient clustering; network lifetime; optimal model; simulated annealing genetic algorithm; wireless sensor networks; Clustering algorithms; Computational modeling; Educational institutions; Energy consumption; Energy efficiency; Energy management; Genetic algorithms; Protocols; Simulated annealing; Wireless sensor networks; energy-efficient clustering; global simulated annealing genetic algorithm; wireless sensor networks;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
DOI :
10.1109/IITA.Workshops.2008.40
