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All Journal International Journal of Electrical and Computer Engineering
Shahin Farzaneh
University of Mohaghegh Ardabili
Computer Science & IT Electrical & Electronics Engineering

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TFUZZY-OF: a new method for routing protocol for low-power and lossy networks load balancing using multi-criteria decision-making Ali Kamil Ahmed; Behnam Farzaneh; Elahe Boochanpour; Emad Alizadeh; Shahin Farzaneh
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3474-3483

Abstract

The internet of things (IoT) based on a network layer perspective includes low-power and lossy networks (LLN) that are limited in terms of power consumption, memory, and energy usage. The routing protocol used in these networks is called routing over low-power and lossy networks (RPL). Therefore, the IoT networks include smart objects that need multiple routing for their interconnections which makes traffic load balancing techniques indispensable to RPL routing protocol. In this paper, we propose a method based on fuzzy logic and the technique for the order of prioritization by similarity to the ideal solution (TOPSIS) as a well-known multi-criteria decision-making method to solve the load balancing problem by routing metrics composition. For this purpose, a combination of both link and node routing metrics namely hop count, expected transmission count, and received signal strength indicator is used. The results of simulations show that this method can increase the quality of services in terms of packet delivery ratio and average end-to-end delay.
Co-Authors Ali Kamil Ahmed Behnam Farzaneh Elahe Boochanpour Emad Alizadeh