International Journal of Computational Intelligence Systems

<Previous Article In Issue
Next Article In Issue>
Volume 10, Issue 1, 2017, Pages 951 - 961

A Hybrid Fuzzy Multi-hop Unequal Clustering Algorithm for Dense Wireless Sensor Networks

Authors
Shawkat K. Guirguis1, shawkat_g@yahoo.com, Mohamed A. Abdou2, m.abdou@pua.edu.eg, Ahmed A. Elnaggar3, *, aelnaggar@iti.gov.eg
1Department of Information Technology, Institute of Graduate Studies and Research (IGSR), Alexandria University, Alexandria, 21526, Egypt
2Informatics Research Institute (IRI), City for Scientific Research and Technology Applications (SRTA-City), Alexandria, 21648, Egypt
3Information Technology Institute (ITI), Ministry of Communication and Information Technology (MCIT), Alexandria, 21511, Egypt
*Corresponding author. Tel.: +20 012 24353539; E-mail: aelnaggar@iti.gov.eg.
Corresponding Author
Ahmed A. Elnaggaraelnaggar@iti.gov.eg
Received 26 November 2016, Accepted 3 May 2017, Available Online 18 May 2017.
DOI
10.2991/ijcis.2017.10.1.63How to use a DOI?
Keywords
Fuzzy systems; Wireless Sensor Network; Unequal clustering; Hierarchical architecture; Multi-hop transmission
Abstract

Clustering is carried out to explore and solve power dissipation problem in wireless sensor network (WSN). Hierarchical network architecture, based on clustering, can reduce energy consumption, balance traffic load, improve scalability, and prolong network lifetime. However, clustering faces two main challenges: hotspot problem and searching for effective techniques to perform clustering. This paper introduces a fuzzy unequal clustering technique for heterogeneous dense WSNs to determine both final cluster heads and their radii. Proposed fuzzy system blends three effective parameters together which are: the distance to the base station, the density of the cluster, and the deviation of the node’s residual energy from the average network energy. Our objectives are achieving gain for network lifetime, energy distribution, and energy consumption. To evaluate the proposed algorithm, WSN clustering based routing algorithms are analyzed, simulated, and compared with obtained results. These protocols are LEACH, SEP, HEED, EEUC, and MOFCA.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
951 - 961
Publication Date
2017/05/18
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.63How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Shawkat K. Guirguis
AU  - Mohamed A. Abdou
AU  - Ahmed A. Elnaggar
PY  - 2017
DA  - 2017/05/18
TI  - A Hybrid Fuzzy Multi-hop Unequal Clustering Algorithm for Dense Wireless Sensor Networks
JO  - International Journal of Computational Intelligence Systems
SP  - 951
EP  - 961
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.63
DO  - 10.2991/ijcis.2017.10.1.63
ID  - Guirguis2017
ER  -