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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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| 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. |
| format | Article |
| id | doaj-art-20c40a80459941b6b1cee693b5848ff8 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| 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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