FUZZY APPLIED ENERGY AWARE CLUSTERING BASED ROUTING FOR IOT NETWORKS

Main Article Content

Amin Salih Mohammed
https://orcid.org/0000-0002-2993-6182
B. Saravana Balaji
https://orcid.org/0000-0001-9077-1658
Saleem Basha M. S.
https://orcid.org/0000-0002-4005-3321

Abstract

The Internet of Things (IoT) depends on interconnection of clever and addressable gadgets, permitting their self-sufficiency and proactive conduct with Internet availability. Information dispersal in IoT normally relies upon the application and requires setting mindful steering conventions that must incorporate auto-setup highlights (which adjust the conduct of the system at runtime, in light of setting data). This paper proposes a methodology for IoT course determination utilizing fuzzy rationale so as to accomplish the necessities of explicit applications. For this situation, fuzzy rationale is utilized to decipher in math terms the uncertain data communicated by a lot of phonetic guidelines. The criteria of vitality status, QoS effect and hub area are taken as the fundamental factors that can impact the choice of group heads while every measure contains some sub-criteria. For routing, FEACR - Fuzzy applied energy aware clustering based routing for IoT Networks is utilized to upgrade the information conveyance dependability. The bunch based directing is a proficient way to diminish the vitality utilization. From the tests led in this examination work utilizing the proposed model, it is demonstrated that the proposed directing calculation gave better system execution as far as the measurements to be specific defer time, packet conveyance proportion, and system lifetime.

Article Details

How to Cite
Mohammed, A. S., Balaji, B. S., & Basha M. S., S. (2019). FUZZY APPLIED ENERGY AWARE CLUSTERING BASED ROUTING FOR IOT NETWORKS. Advanced Information Systems, 3(4), 140–145. https://doi.org/10.20998/2522-9052.2019.4.22
Section
Applied problems of information systems operation
Author Biographies

Amin Salih Mohammed, Lebanese French University; Salahaddin University, Erbil, Kurdistan Region

PhD, Associate Professor, Head of the Department of Computer Engineering;

Associate Professor Dept of Software and Informatics Engineering

B. Saravana Balaji, Lebanese French University, Erbil, Kurdistan Region

Associate Professor, Department of Information Technology

Saleem Basha M. S., Mazoon College, Muscat

Associate Professor, Dept of Computing & Informatics

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