TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius
Topology control in next-generation wireless networks has recently attracted the interest of several researchers. The network performance is significantly affected by the topology. Therefore, creating an optimal topology is essential, particularly in fifth-generation (5G) networks, where latency, th...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10261987/ |
| _version_ | 1797662217893576704 |
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| author | Le Huu Binh Thuy-Van T. Duong Vuong M. Ngo |
| author_facet | Le Huu Binh Thuy-Van T. Duong Vuong M. Ngo |
| author_sort | Le Huu Binh |
| collection | DOAJ |
| description | Topology control in next-generation wireless networks has recently attracted the interest of several researchers. The network performance is significantly affected by the topology. Therefore, creating an optimal topology is essential, particularly in fifth-generation (5G) networks, where latency, throughput, energy efficiency, and other performance metrics are highly stringent. In this study, we investigated topology control algorithms in 5G-based mobile ad-hoc networks (MANET). A novel algorithm, namely Topological control by Flexibly Adjusting the Coverage Radius (TFACR) was proposed to improve network performance. The main idea of the TFACR algorithm is to adjust the communication range flexibly to obtain the desired degree of nodes. The degree constraint of the neighboring nodes is considered each time a node adjusts the communication area to ensure node degree balancing throughout the network topology. The TFACR algorithm is implemented in the OMNET++ and INET frameworks using the Reinforcement Learning-based routing protocol (RLRP), Ad-hoc On-demand Distance Vector (AODV) and Destination Sequenced Distance Vector (DSDV) routing protocols to evaluate its performance. The simulation results proved that the proposed algorithm outperformed well-known topology control algorithms in terms of the average node degree, quality of transmission, and energy consumption. This is suitable for 5G-based MANET. |
| first_indexed | 2024-03-11T18:56:57Z |
| format | Article |
| id | doaj.art-da0cd5ee45a943d7b22309da31dde116 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T18:56:57Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-da0cd5ee45a943d7b22309da31dde1162023-10-10T23:00:23ZengIEEEIEEE Access2169-35362023-01-011110573410574810.1109/ACCESS.2023.331888010261987TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage RadiusLe Huu Binh0https://orcid.org/0000-0002-0951-4046Thuy-Van T. Duong1Vuong M. Ngo2https://orcid.org/0000-0002-8793-0504University of Sciences, Faculty of Information Technology, Hue University of Sciences, Hue City, VietnamFaculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, VietnamInformation System Management Center, Ho Chi Minh City Open University, Ho Chi Minh City, VietnamTopology control in next-generation wireless networks has recently attracted the interest of several researchers. The network performance is significantly affected by the topology. Therefore, creating an optimal topology is essential, particularly in fifth-generation (5G) networks, where latency, throughput, energy efficiency, and other performance metrics are highly stringent. In this study, we investigated topology control algorithms in 5G-based mobile ad-hoc networks (MANET). A novel algorithm, namely Topological control by Flexibly Adjusting the Coverage Radius (TFACR) was proposed to improve network performance. The main idea of the TFACR algorithm is to adjust the communication range flexibly to obtain the desired degree of nodes. The degree constraint of the neighboring nodes is considered each time a node adjusts the communication area to ensure node degree balancing throughout the network topology. The TFACR algorithm is implemented in the OMNET++ and INET frameworks using the Reinforcement Learning-based routing protocol (RLRP), Ad-hoc On-demand Distance Vector (AODV) and Destination Sequenced Distance Vector (DSDV) routing protocols to evaluate its performance. The simulation results proved that the proposed algorithm outperformed well-known topology control algorithms in terms of the average node degree, quality of transmission, and energy consumption. This is suitable for 5G-based MANET.https://ieeexplore.ieee.org/document/10261987/5G-based MANETtopology control algorithmTFACRnext generation wireless network |
| spellingShingle | Le Huu Binh Thuy-Van T. Duong Vuong M. Ngo TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius IEEE Access 5G-based MANET topology control algorithm TFACR next generation wireless network |
| title | TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius |
| title_full | TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius |
| title_fullStr | TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius |
| title_full_unstemmed | TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius |
| title_short | TFACR: A Novel Topology Control Algorithm for Improving 5G-Based MANET Performance by Flexibly Adjusting the Coverage Radius |
| title_sort | tfacr a novel topology control algorithm for improving 5g based manet performance by flexibly adjusting the coverage radius |
| topic | 5G-based MANET topology control algorithm TFACR next generation wireless network |
| url | https://ieeexplore.ieee.org/document/10261987/ |
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