Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance
With the exploding number of IoT devices generating vast data volumes, there is a growing risk of significant performance degradation without efficient congestion management. To tackle this challenge, efficient regulation and supervision are essential for managing congestion in IoT networks. This re...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024162974 |
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| author | Lal Pratap Verma Gyanendra Kumar Osamah Ibrahim Khalaf Wing-Keung Wong Abdulsattar Abdullah Hamad Sur Singh Rawat |
| author_facet | Lal Pratap Verma Gyanendra Kumar Osamah Ibrahim Khalaf Wing-Keung Wong Abdulsattar Abdullah Hamad Sur Singh Rawat |
| author_sort | Lal Pratap Verma |
| collection | DOAJ |
| description | With the exploding number of IoT devices generating vast data volumes, there is a growing risk of significant performance degradation without efficient congestion management. To tackle this challenge, efficient regulation and supervision are essential for managing congestion in IoT networks. This research work introduces a One-Way-Delay (OWD)-based congestion control (CC) method that estimates data transmission delays of the communication path and adjusts network traffic accordingly. The proposed method enhances IoT device performance by continuously monitoring OWD along the transmission path to identify and mitigate congestion. Comparative analysis with existing methods demonstrates that the proposed approach more effectively utilizes network resources, reduces congestion, and improves throughput while ensuring fairness and reliability within the IoT infrastructure. The experimental simulations show that the proposed OWD-based method outperforms well-established TCP variants such as BBR, TCP Cubic, HTCP, and New Reno, achieving average throughput improvements ranging from 4.1 % to 22.7 %. The proposed method also maintains fairness in mixed-traffic environments and effectively manages congestion in complex network topologies. |
| format | Article |
| id | doaj-art-e85507b5e4334fbd826b50dcf9ed1c7d |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-e85507b5e4334fbd826b50dcf9ed1c7d2024-11-30T07:12:18ZengElsevierHeliyon2405-84402024-11-011022e40266Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performanceLal Pratap Verma0Gyanendra Kumar1Osamah Ibrahim Khalaf2Wing-Keung Wong3Abdulsattar Abdullah Hamad4Sur Singh Rawat5Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, 303007, IndiaDepartment of IoT and Intelligent Systems, Manipal University Jaipur, Jaipur, 303007, India; Corresponding author.Department of Solar, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, IraqAsia University, TaiwanUniversity of Samarra, College of Education, Department of Physics, IraqDepartment of Computer Science and Engineering, J.S.S. Academy of Technical Education, Noida, 201301, IndiaWith the exploding number of IoT devices generating vast data volumes, there is a growing risk of significant performance degradation without efficient congestion management. To tackle this challenge, efficient regulation and supervision are essential for managing congestion in IoT networks. This research work introduces a One-Way-Delay (OWD)-based congestion control (CC) method that estimates data transmission delays of the communication path and adjusts network traffic accordingly. The proposed method enhances IoT device performance by continuously monitoring OWD along the transmission path to identify and mitigate congestion. Comparative analysis with existing methods demonstrates that the proposed approach more effectively utilizes network resources, reduces congestion, and improves throughput while ensuring fairness and reliability within the IoT infrastructure. The experimental simulations show that the proposed OWD-based method outperforms well-established TCP variants such as BBR, TCP Cubic, HTCP, and New Reno, achieving average throughput improvements ranging from 4.1 % to 22.7 %. The proposed method also maintains fairness in mixed-traffic environments and effectively manages congestion in complex network topologies.http://www.sciencedirect.com/science/article/pii/S2405844024162974Congestion controlIoTTCPTransport layerCongestion window |
| spellingShingle | Lal Pratap Verma Gyanendra Kumar Osamah Ibrahim Khalaf Wing-Keung Wong Abdulsattar Abdullah Hamad Sur Singh Rawat Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance Heliyon Congestion control IoT TCP Transport layer Congestion window |
| title | Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance |
| title_full | Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance |
| title_fullStr | Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance |
| title_full_unstemmed | Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance |
| title_short | Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance |
| title_sort | adaptive congestion control in iot networks leveraging one way delay for enhanced performance |
| topic | Congestion control IoT TCP Transport layer Congestion window |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024162974 |
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