Open Access

ARTICLE

Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

A. Prithiviraj^1,*, A. Maheswari², D. Balamurugan¹, Vinayakumar Ravi³, Moez Krichen^4,5, Roobaea Alroobaea⁶, Saeed Rubaiee⁷, Sankar Sennan¹

1 Department of CSE, Sona College of Technology, Salem, 636005, India
2 Department of CSE, Dr. M. G. R. Educational and Research Institute, Chennai, 600095, India
3 Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia
4 Faculty of CSIT, Al-Baha University, Saudi Arabia
5 ReDCAD laboratory, University of Sfax, Tunisia
6 Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
7 Department of Industrial and Systems Engineering, College of Engineering, University of Jeddah, Jaddah, Saudi Arabia

* Corresponding Author: A. Prithiviraj. Email:

(This article belongs to the Special Issue: Deep Learning Trends in Intelligent Systems)

Computers, Materials & Continua 2022, 70(1), 323-341. https://doi.org/10.32604/cmc.2022.015299

Received 14 November 2020; Accepted 17 April 2021; Issue published 07 September 2021

Abstract

Despite the seemingly exponential growth of mobile and wireless communication, this same technology aims to offer uninterrupted access to different wireless systems like Radio Communication, Bluetooth, and Wi-Fi to achieve better network connection which in turn gives the best quality of service (QoS). Many analysts have established many handover decision systems (HDS) to enable assured continuous mobility between various radio access technologies. Unbroken mobility is one of the most significant problems considered in wireless communication networks. Each application needs a distinct QoS, so the network choice may shift appropriately. To achieve this objective and to choose the finest networks, it is important to select a best decision making algorithm that chooses the most effective network for every application that the user requires, dependent on QoS measures. Therefore, the main goal of the proposed system is to provide an enhanced vertical handover (VHO) decision making program by using a Multi-Criteria Fuzzy-Based algorithm to choose the best network. Enhanced Multi-Criteria algorithms and a Fuzzy-Based algorithm is implemented successfully for optimal network selection and also to minimize the probability of false handover. Furthermore, a double packet buffer is utilized to decrease the packet loss by 1.5% and to reduce the number of handovers up to 50% compared to the existing systems. In addition, the network setup has an optimized mobility management system to supervise the movement of the mobile nodes.

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