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
Link To Document :
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