Paper Info
Title
An Intelligent Fuzzy-Based Cluster Head Selection System for WSNs and Its Performance Evaluation for D3N Parameter
Abstract
Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network’s communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by some simulation results. From the simulation results, we found that the probability of a not to be a cluster head is increased with increase of number of neighbour nodes and remained battery power decrease of distance from the cluster centroid.
Year
DOI
Venue
2010
10.1109/BWCCA.2010.149
BWCCA
Keywords
Field
DocType
fuzzy logic,telecommunication network topology,wireless sensor networks,D3N parameter,LEACH,WSN,cluster formation,energy dissipation,fuzzy logic,intelligent fuzzy-based cluster head selection system,power reduction algorithm,Clustering Algorithms,Fuzzy Logic,Performance Evaluation,Sensor Networks
Dissipation,Computer science,Fuzzy logic,Real-time computing,Battery (electricity),Cluster analysis,Wireless sensor network,Centroid
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Hironori Ando1183.50
Leonard Barolli22178333.62
arjan durresi31446145.94
Fatos Xhafa43433343.33
akio koyama546468.76