DocumentCode
1800737
Title
An efficient approach for clustering in wireless sensor network using fuzzy logic
Author
Dastgheib, Seyyed Jalaleddin ; Oulia, Hamed ; Ghassami, Mohammad Reza Sadeqi
Author_Institution
Coll. of Eng. & Technol, Tech. & Vocational Univ., Shiraz, Iran
Volume
3
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
1481
Lastpage
1486
Abstract
Wireless sensor network(WSN) is composed of a large number of sensor nodes that are connected to each other to perform specific tasks. These nodes have limited energy, processing power and memory. Since the network lifetime depends on the nodes On, the power supply component in the nodes is very important. Therefore we need to use strategies to reduce energy consumption in the nodes. Clustering is one of the strategies to reduce energy consumption. Many clustering algorithms have been introduced. LEACH algorithm is one of the famous of them. In this paper we proposed an efficient method for clustering using fuzzy logic with appropriate inputs and combine it with the good features of LEACH. These method is fully distributed. Therefore its speed is more and its energy consumption is less than centralized methods. Also our proposed method will resolve the weaknesses of LEACH and is more efficient than the existing methods.
Keywords
fuzzy logic; pattern clustering; telecommunication network reliability; wireless sensor networks; LEACH algorithm; WSN; centralized methods; clustering algorithms; energy consumption reduction; fuzzy logic; network lifetime; power supply component; sensor nodes; wireless sensor network clustering; Educational institutions; Energy consumption; Fuzzy logic; Fuzzy sets; Fuzzy systems; Power supplies; Wireless sensor networks; Clustering; Fuzzy Logic; LEACH; Network Lifetime Increasing; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182246
Filename
6182246
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