CFGA: Clustering Wireless Sensor Network Using Fuzzy Logic and Genetic Algorithm

2011 ◽  
Author(s):  
Esmaeil Saeedian ◽  
Massoud Niazi Torshiz ◽  
Mehrdad Jalali ◽  
Ghamarnaz Tadayon ◽  
Mohammad Mahdi Tajari
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals INCREASING THE LIFETIME OF HETEROGENEOUS SENSOR NETWORK BY USING GENETIC-FUZZY CLUSTERING

2013 ◽  
pp. 185-189
Author(s):  
SEYED MOHAMMAD ABEDINI ◽  
ABBAS KARIMI
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Process Data ◽  
To Receive

Wireless sensor network is composed of hundreds or thousands of sensor nodes which have computational, energy and memory limitation. Its duty is to receive information from its surrounding environment, analyze and process data and to send the received data to other nodes or base station. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networks, clustering models are used to overcome this problem. In this paper, fuzzy logic and genetic algorithm are combined to increase the lifetime of the wireless sensor network. In other words, fuzzy logic is used to introduce the best nodes, those that in comparison to other nodes have more energy, density and centrality, to base station as cluster head candidate. Then, the number and place of cluster heads are determined in base station by using genetic algorithm. Also, the network acts heterogeneously and includes several nodes with different parameters.

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