Affiliations: Graduate School of Engineering, Fukuoka Institute of
Technology (FIT), Higashi-Ku, Fukuoka, Japan | Department of Information and Communication
Engineering, Fukuoka Institute of Technology (FIT), Higashi-Ku, Fukuoka,
Japan | Department of Computer and Information Science,
Indiana University Purdue University at Indianapolis, Indianapolis, IN,
USA | Department of Languages and Informatics Systems,
Polytechnic University of Catalonia, Barcelona, Spain | Department of Informatics, Yamagata University,
Yonezawa, Yamagata, Japan
Note: [] Corresponding author: Leonard Barolli, Department of Information
and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1
Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan. E-mail: barolli@fit.ac.jp
Abstract: Sensor networks supported by recent technological advances in low
power wireless communications along with silicon integration of various
functionalities are emerging as a critically important computer class that
enable novel and low cost applications. There are many fundamental problems
that sensor networks research will have to address in order to ensure a
reasonable degree of cost and system quality. 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 this paper, in order to deal with this
problem, we propose two fuzzy-based systems for cluster head selection in
sensor networks. We call these systems: FCHS System1 and FCHS System2. We
evaluate the proposed systems by simulations and have shown that FCHS System2
make a good selection of the cluster head compared with FCHS System1 and
another previous system.
