DocumentCode :
2045999
Title :
DBSR: Dynamic Base Station Repositioning Using Genetic Algorithm in Wireless Sensor Network
Author :
Mollanejad, Amir ; Khanli, Leili Mohammad ; Zeynali, Mohammad
Author_Institution :
Jolfa Branch, Islamic Azad Univ., Jolfa, Iran
Volume :
2
fYear :
2010
fDate :
19-21 March 2010
Firstpage :
521
Lastpage :
525
Abstract :
Wireless sensor networks (WSNs) are commonly used in various ubiquitous and pervasive applications. Due to limited power resources, the optimal dynamic base station (BS) replacement could be Prolong the sensor network lifetime. In this paper we´ll present a dynamic optimum method for base station replacement so that can save energy in sensors and increases network lifetime. Because positioning problem is a NP-hard problem [1], therefore we´ll use genetic algorithm to solve positioning problem. We´ve considered energy and distance parameters for finding BS optimized position. In our represented algorithm base station position is fixed just during each round and its positioning is done at the start of next round then it´ll be placed in optimized position. Evaluating our proposed algorithm, we´ll execute DBSR algorithm on LEACH & HEED Protocols.
Keywords :
computational complexity; genetic algorithms; protocols; telecommunication network reliability; wireless sensor networks; BS position optimization; BS replacement; DBSR algorithm; HEED protocols; LEACH protocols; NP-hard problem; dynamic base station repositioning; genetic algorithm; optimal dynamic base station replacement; wireless sensor network; Application software; Base stations; Computer applications; Computer networks; Genetic algorithms; Genetic engineering; NP-hard problem; Pervasive computing; Telecommunication traffic; Wireless sensor networks; Wireless sensor networks; base station; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
Type :
conf
DOI :
10.1109/ICCEA.2010.250
Filename :
5445702
Link To Document :
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