DocumentCode :
3456702
Title :
A novel genetic algorithm in LEACH-C routing protocol for sensor networks
Author :
Rahmanian, A. ; Omranpour, Hesam ; Akbari, Mohammad ; Raahemifar, Kaamran
Author_Institution :
Comput. Eng. Dept., Univ. of Sci. & Technol., Tehran, Iran
fYear :
2011
fDate :
8-11 May 2011
Abstract :
This paper presents a new approach to clustering wireless sensor networks and determining cluster heads. Here we apply evolutionary algorithms in centralized clustering. LEACH-C is one of the effective (basic) parameters in network life time based on energy consuming value protocol. In suggested evolutionary algorithm, through proper application of evolutionary operators, we search for efficient clustering based on each node´s energy. Innovation of our method is in proper representation of chromosomes and also in determining proper fitness function according to problem features based on energy measure. In this paper we propose two new fitness functions. The results of applying these functions on four different types of sensor networks are presented and compared with the results of the Simulated Annealing method.
Keywords :
genetic algorithms; routing protocols; wireless sensor networks; LEACH-C routing protocol; centralized clustering; chromosomes; cluster heads; clustering wireless sensor networks; evolutionary algorithms; evolutionary operators; genetic algorithm; network lifetime; Base stations; Biological cells; Clustering algorithms; Evolutionary computation; Protocols; Simulated annealing; Wireless sensor networks; Evolutionary algorithm; Leach-C protocol; Routing Algorithm; Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2011.6030631
Filename :
6030631
Link To Document :
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