Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7332
Title: FUCP: Fuzzy Based Unequal Clustering Protocol for Wireless Sensor Networks
Authors: Gajjar, Sachin
Talati, Adit
Sarkar, Mohanchur
Dasgupta, Kankar
Keywords: Wireless Sensor Networks
Cluster Head Selection
Clustering
Fuzzy Logic
EC Faculty Paper
Faculty Paper
ITFEC020
Issue Date: Dec-2015
Citation: 39th National Systems Conference - 2015, School of Engineering, Shiv Nadar University, Uttar Pradash, India, December, 2015
Series/Report no.: ITFEC020-29;
Abstract: This paper presents Fuzzy Based Unequal Clustering Protocol (FUCP) for wireless sensor networks. The cluster head selection mechanism uses fuzzy logic with three node descriptors namely, residual energy, centerness with respect to its neighbor, and quality of communication link with its neighbors for cluster head selection. To avoid hot spots and for uniform network traffic distribution, FUCR uses unequal clustering. For this, fuzzy logic is used with node distribution and distance from master station to decide number of cluster heads and cluster head advertisement radius in a given area. A comparative analysis of FUCR, Low Energy Adaptive Clustering Hierarchy, Hybrid Energy Efficient Distributed Clustering, Cluster Head Election mechanism using Fuzzy logic, and Distributed Energy Efficient Hierarchical Clustering shows that FUCP is up to 40% more energy efficient, has 31% more network lifetime, and sends 57% more packets to master station compared to Distributed Energy Efficient Hierarchical Clustering.
URI: http://hdl.handle.net/123456789/7332
Appears in Collections:Faculty Papers, EC

Files in This Item:
File Description SizeFormat 
ITFEC020-29.pdfITFEC020-291.08 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.