Title: A comparison of two fuzzy-based systems considering node security in MANET clusters

Authors: Mirjeta Alinci; Takaaki Inaba; Donald Elmazi; Evjola Spaho; Vladi Kolici; Leonard Barolli

Addresses: Department of Electronics and Telecommunication, Polytechnic University of Tirana, Mother Teresa Square, No. 4, Tirana, Albania ' Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan ' Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan ' Department of Electronics and Telecommunication, Polytechnic University of Tirana, Mother Teresa Square, No. 4, Tirana, Albania ' Department of Electronics and Telecommunication, Polytechnic University of Tirana, Mother Teresa Square, No. 4, Tirana, Albania ' Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan

Abstract: A Mobile Ad Hoc Network (MANET) is a multi-hop wireless network in which the mobile nodes are dynamic in nature and which has a limited bandwidth and minimum battery power. Owing to this challenging environment the mobile nodes can be grouped into clusters to achieve better stability and scalability. Grouping the mobile nodes is called clustering, in which a leader node is elected to manage the entire network. In this paper, first we introduce various approaches for clustering focus on different performance metrics. Then, we show some clustering schemes. Finally, we present and compare two fuzzy-based systems (called F2SMC1 and F2SMC2) for improving the security of cluster nodes in MANETs. We compare the performance of F2SMC1 and F2SMC2 and show that the F2SMC2 is more complex than F2SMC1, but is more reliable and secure.

Keywords: MANET; clustering; cluster head; algorithms.

DOI: 10.1504/IJGUC.2017.088280

International Journal of Grid and Utility Computing, 2017 Vol.8 No.4, pp.343 - 356

Received: 27 Jul 2016
Accepted: 21 Oct 2016

Published online: 25 Nov 2017 *

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