DocumentCode :
1782443
Title :
Two stage fuzzy logic based clustering approach wireless sensor network LEACH protocol
Author :
Kamal, Md Mustafa ; Shawkat, Shamim Ara ; Alam, Md Shamsul
Author_Institution :
Inst. of Inf. & Commun. Technol. (IICT), Bangladesh Univ. of Eng. & Technol. (BUET), Dhaka, Bangladesh
fYear :
2014
fDate :
8-10 March 2014
Firstpage :
154
Lastpage :
159
Abstract :
Energy proficiency is an essential feature to intend an extensive existence wireless sensor network. More than a few methods have been proposed to boost the battery lifetime of sensor nodes. One of the methods is clustering approach which consists of two ways: selecting cluster heads with more residual energy and rotating cluster heads periodically from cluster to cluster thus extends the network lifetime. In this paper we present the wireless sensor networks by means of TSFL-LEACH (Two Stage Fuzzy Logic based Low Energy Adaptive Clustering Hierarchy) where completely two separate cluster levels are defined depending on the distance from the cluster heads and the cluster nodes. We also applied fuzzy asymmetrical clustering mechanism to prolong the lifetime of WSNs. We compare our algorithm with some popular algorithms namely LEACH, LEACH-C and EEUC. The simulation result shows that our bespoken edition improves the energy efficiency and enhances the life length of a wireless sensor network (WSN).
Keywords :
fuzzy set theory; pattern clustering; protocols; wireless sensor networks; EEUC algorithm; LEACH-C algorithm; TSFL-LEACH; WSN lifetime; battery lifetime; cluster head rotation; cluster head selection; cluster nodes; energy efficiency improvement; energy proficiency; fuzzy asymmetrical clustering mechanism; residual energy; sensor nodes; two stage fuzzy logic based clustering approach; wireless sensor network LEACH protocol; Algorithm design and analysis; Base stations; Clustering algorithms; Energy efficiency; Fuzzy logic; Protocols; Wireless sensor networks; Energy efficiency; TSFL-LEACH; residual energy; rotating cluster heads; two stage clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (ICCIT), 2013 16th International Conference on
Conference_Location :
Khulna
Type :
conf
DOI :
10.1109/ICCITechn.2014.6997325
Filename :
6997325
Link To Document :
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