An algorithm for heterogeneous wireless network connections for user preferences and services

Abstract Heterogeneous wireless networks (HWNs) present a challenge in selecting the optimal network for user devices due to the overlapping availability of multiple networks. In order to help users choose the best HWN connection, this research is trying to build a decision-making framework that tak...

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Main Authors: S. Dinesh Krishnan, A. Daniel, S. Ayyasamy, Balamurugan Balusamy, Shitharth Selvarajan, Taher Al-Shehari, Nasser A. Alsadhan
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-02451-8
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author S. Dinesh Krishnan
A. Daniel
S. Ayyasamy
Balamurugan Balusamy
Shitharth Selvarajan
Taher Al-Shehari
Nasser A. Alsadhan
author_facet S. Dinesh Krishnan
A. Daniel
S. Ayyasamy
Balamurugan Balusamy
Shitharth Selvarajan
Taher Al-Shehari
Nasser A. Alsadhan
author_sort S. Dinesh Krishnan
collection DOAJ
description Abstract Heterogeneous wireless networks (HWNs) present a challenge in selecting the optimal network for user devices due to the overlapping availability of multiple networks. In order to help users choose the best HWN connection, this research is trying to build a decision-making framework that takes user preferences and network performance characteristics into account. Using a multi-attribute decision-making (MADM) method that incorporates fuzzy logic and the Fuzzy Analytic Hierarchy Process (FAHP), our goal is to improve the decision-making process for network selection. The suggested system takes into account a number of network metrics, including latency, jitter, bandwidth, and cost, and uses user preferences to determine the relative importance of each to guarantee a tailored and adaptable recommendation. Our results demonstrate that the algorithm greatly enhances the efficiency of network selection and the level of user happiness, with UMTS being the best option for conversational services, WiMAX being the best for streaming, and LTE being the best for interactive services. Through the incorporation of user-centric decision-making into the network selection process, this research enhances adaptive wireless communication systems, leading to better user experience and network efficiency.
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issn 2045-2322
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publisher Nature Portfolio
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series Scientific Reports
spelling doaj-art-20c40a80459941b6b1cee693b5848ff82025-08-20T02:34:06ZengNature PortfolioScientific Reports2045-23222025-05-0115111510.1038/s41598-025-02451-8An algorithm for heterogeneous wireless network connections for user preferences and servicesS. Dinesh Krishnan0A. Daniel1S. Ayyasamy2Balamurugan Balusamy3Shitharth Selvarajan4Taher Al-Shehari5Nasser A. Alsadhan6B V Raju Institute of TechnologyAmity UniversityVellore Institute of TechnologyAssociate Dean-Student Engagement Shiv Nadar UniversityDepartment of Computer Science, Kebri Dehar UniversityComputer Skills, Department of Self-Development Skill, Common First Year Deanship, King Saud UniversityComputer Science Department, College of Computer and Information Sciences, King Saud UniversityAbstract Heterogeneous wireless networks (HWNs) present a challenge in selecting the optimal network for user devices due to the overlapping availability of multiple networks. In order to help users choose the best HWN connection, this research is trying to build a decision-making framework that takes user preferences and network performance characteristics into account. Using a multi-attribute decision-making (MADM) method that incorporates fuzzy logic and the Fuzzy Analytic Hierarchy Process (FAHP), our goal is to improve the decision-making process for network selection. The suggested system takes into account a number of network metrics, including latency, jitter, bandwidth, and cost, and uses user preferences to determine the relative importance of each to guarantee a tailored and adaptable recommendation. Our results demonstrate that the algorithm greatly enhances the efficiency of network selection and the level of user happiness, with UMTS being the best option for conversational services, WiMAX being the best for streaming, and LTE being the best for interactive services. Through the incorporation of user-centric decision-making into the network selection process, this research enhances adaptive wireless communication systems, leading to better user experience and network efficiency.https://doi.org/10.1038/s41598-025-02451-8Fuzzy analysis hierarchy processFuzzy logicHeterogeneous wireless networksMulti-attribute decision-making approachMachine learning
spellingShingle S. Dinesh Krishnan
A. Daniel
S. Ayyasamy
Balamurugan Balusamy
Shitharth Selvarajan
Taher Al-Shehari
Nasser A. Alsadhan
An algorithm for heterogeneous wireless network connections for user preferences and services
Scientific Reports
Fuzzy analysis hierarchy process
Fuzzy logic
Heterogeneous wireless networks
Multi-attribute decision-making approach
Machine learning
title An algorithm for heterogeneous wireless network connections for user preferences and services
title_full An algorithm for heterogeneous wireless network connections for user preferences and services
title_fullStr An algorithm for heterogeneous wireless network connections for user preferences and services
title_full_unstemmed An algorithm for heterogeneous wireless network connections for user preferences and services
title_short An algorithm for heterogeneous wireless network connections for user preferences and services
title_sort algorithm for heterogeneous wireless network connections for user preferences and services
topic Fuzzy analysis hierarchy process
Fuzzy logic
Heterogeneous wireless networks
Multi-attribute decision-making approach
Machine learning
url https://doi.org/10.1038/s41598-025-02451-8
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