Title :
A Novel Routing Algorithm for Energy-Efficient in Wireless Sensor Networks
Author :
Xie Miao ; Huang Ting-lei ; Zhu Xiao-shu
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
For WSN, the network node energy is limited, so how to save and even the consumption of the overall energy is an important problem. Clustering is one of the design methods used to manage the network energy consumption efficiently. In this paper, we use genetic simulated annealing algorithm(GSAA) to find an optimal cluster formation and prolong network lifetime. The proposed algorithm takes the nodes position and energy consumption of the network as objective function. Simulation results show that the system´s performance have further improved by using GSAA over some existing cluster-based routing protocols.
Keywords :
genetic algorithms; routing protocols; simulated annealing; wireless sensor networks; WSN; cluster-based routing protocols; clustering; energy consumption; genetic simulated annealing algorithm; network node energy; optimal cluster formation; wireless sensor networks; Clustering algorithms; Design methodology; Energy consumption; Energy efficiency; Energy management; Genetics; Routing; Simulated annealing; System performance; Wireless sensor networks; WSN; clustering; genetic simulated annealing algorithm;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.116