DocumentCode :
3107502
Title :
A review on fuzzy logic based clustering algorithms for wireless sensor networks
Author :
Mishra, Ajai Kumar ; Kumar, Rakesh ; Singh, Jitendra
Author_Institution :
Madan Mohan Malviya Univ. of Technol., Gorakhpur, India
fYear :
2015
fDate :
25-27 Feb. 2015
Firstpage :
489
Lastpage :
494
Abstract :
Today wireless sensor Networks (WSNs) has important role in various fields. Sensor networks contain many sensor nodes for the purpose of sensing the data from the environment of a particular region. The major design issue in this area is to optimize energy efficiency of a sensor node as the power source of sensor node is limited and also it is not feasible to replace or recharge the power source of sensor nodes. To increase the lifetime of a sensor network, the energy of sensor node must be utilized in optimized way. Sensor nodes are organized in a number of groups called cluster. Clustering is a technique to use the energy of network efficiently. In this paper, we present some fuzzy logic based clustering protocols researched by the active authors. In fuzzy logic based clustering protocols parameters used to create cluster head are residual energy, rechability from its nearest node, base station distance.
Keywords :
access protocols; energy conservation; fuzzy logic; telecommunication power management; wireless sensor networks; WSN; base station distance; cluster head; clustering protocols parameters; energy efficiency; fuzzy logic; power source; residual energy; sensor nodes; wireless sensor networks; Algorithm design and analysis; Base stations; Clustering algorithms; Fuzzy logic; Nominations and elections; Protocols; Wireless sensor networks; Wireless sensor networks; first node dies; fuzzy logic; probabilistic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8432-9
Type :
conf
DOI :
10.1109/ABLAZE.2015.7155045
Filename :
7155045
Link To Document :
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