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

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

656

Lastpage

660

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3505-0

Type

conf

DOI

10.1109/IITA.Workshops.2008.40

Filename

4732023