Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks
In this paper, a novel multilink selection framework is developed for different applications with various quality of service (QoS) requirements in avionic systems, based on the multi-attribute decision-making model. Two metaheuristic algorithms are proposed to solve this model while optimizing the m...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9580923/ |
| _version_ | 1819032542095867904 |
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| author | Doanh Kim Luong Muhammad Ali Yim Fun Hu Jian Ping Li Rameez Asif Kanaan Abdo |
| author_facet | Doanh Kim Luong Muhammad Ali Yim Fun Hu Jian Ping Li Rameez Asif Kanaan Abdo |
| author_sort | Doanh Kim Luong |
| collection | DOAJ |
| description | In this paper, a novel multilink selection framework is developed for different applications with various quality of service (QoS) requirements in avionic systems, based on the multi-attribute decision-making model. Two metaheuristic algorithms are proposed to solve this model while optimizing the multilink selection performances. Multilink configuration and multi-homing capabilities are generally required for aircrafts operating in a heterogeneous wireless network environment. The first algorithm, called Analytic Hierarchy Process and Simulated Annealing (AHP-SA), utilizes a two-phase process. In Phase one, an analytic hierarchy process (AHP) is used to choose the decision weight factors. Then, in Phase two, a simulated annealing process is applied to select suitable networks, for various service requests, based on the weights obtained from first phase. Further, to improve customer satisfaction, Simulated Annealing algorithm for Simultaneous Weights and Network Selection Optimisation (SA-SWNO) is developed, in which a simulated annealing algorithm is applied to dynamically optimize weight factors of objective functions and the request-to-network assignment matrix. Simulation results demonstrate that both proposed algorithms outperform the commonly used price-based or QoS-based network selection scheme with much higher averaged satisfaction degree and lower computational complexity. |
| first_indexed | 2024-12-21T07:03:36Z |
| format | Article |
| id | doaj.art-a84ac326471e40c083e18171382a9e0b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T07:03:36Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a84ac326471e40c083e18171382a9e0b2022-12-21T19:12:09ZengIEEEIEEE Access2169-35362021-01-01914530114531610.1109/ACCESS.2021.31216229580923Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic NetworksDoanh Kim Luong0https://orcid.org/0000-0002-4629-9816Muhammad Ali1https://orcid.org/0000-0003-3842-9593Yim Fun Hu2https://orcid.org/0000-0002-4039-8346Jian Ping Li3https://orcid.org/0000-0003-0974-8149Rameez Asif4Kanaan Abdo5https://orcid.org/0000-0001-7329-5370Faculty of Engineering and Informatics, University of Bradford, Bradford, U.K.Faculty of Engineering and Informatics, University of Bradford, Bradford, U.K.Faculty of Engineering and Informatics, University of Bradford, Bradford, U.K.Faculty of Engineering and Informatics, University of Bradford, Bradford, U.K.Faculty of Engineering and Informatics, University of Bradford, Bradford, U.K.ALTYS Technologies, Toulouse, FranceIn this paper, a novel multilink selection framework is developed for different applications with various quality of service (QoS) requirements in avionic systems, based on the multi-attribute decision-making model. Two metaheuristic algorithms are proposed to solve this model while optimizing the multilink selection performances. Multilink configuration and multi-homing capabilities are generally required for aircrafts operating in a heterogeneous wireless network environment. The first algorithm, called Analytic Hierarchy Process and Simulated Annealing (AHP-SA), utilizes a two-phase process. In Phase one, an analytic hierarchy process (AHP) is used to choose the decision weight factors. Then, in Phase two, a simulated annealing process is applied to select suitable networks, for various service requests, based on the weights obtained from first phase. Further, to improve customer satisfaction, Simulated Annealing algorithm for Simultaneous Weights and Network Selection Optimisation (SA-SWNO) is developed, in which a simulated annealing algorithm is applied to dynamically optimize weight factors of objective functions and the request-to-network assignment matrix. Simulation results demonstrate that both proposed algorithms outperform the commonly used price-based or QoS-based network selection scheme with much higher averaged satisfaction degree and lower computational complexity.https://ieeexplore.ieee.org/document/9580923/Avionicmulti-attribute utilitynetwork selectionsimulated annealingmultilink and multi-homing |
| spellingShingle | Doanh Kim Luong Muhammad Ali Yim Fun Hu Jian Ping Li Rameez Asif Kanaan Abdo Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks IEEE Access Avionic multi-attribute utility network selection simulated annealing multilink and multi-homing |
| title | Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks |
| title_full | Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks |
| title_fullStr | Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks |
| title_full_unstemmed | Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks |
| title_short | Simulated Annealing-Based Multilink Selection Algorithm in SDN-Enabled Avionic Networks |
| title_sort | simulated annealing based multilink selection algorithm in sdn enabled avionic networks |
| topic | Avionic multi-attribute utility network selection simulated annealing multilink and multi-homing |
| url | https://ieeexplore.ieee.org/document/9580923/ |
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