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Adaptive congestion control mechanism to enhance TCP performance in cooperative IoV
Srm University, Department of Computer Science Engineering, Amaravati, Andhra Pradesh, India.
Umeå University, Faculty of Science and Technology, Department of Computing Science. Srm University, Department of Computer Science Engineering, Amaravati, Andhra Pradesh, India.ORCID iD: 0000-0002-6435-5738
Hankuk University of Foreign Studies, Department of Computer Engineering, Yongin-si, South Korea.
Hankuk University of Foreign Studies, Department of Information and Communication Engineering, Yongin-si, South Korea.
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 9000-9013Article in journal (Refereed) Published
Abstract [en]

One of the main causes of energy consumption in Internet of Vehicles (IoV) networks is an ill-designed network congestion control protocol, which results in numerous packet drops, lower throughput, and increased packet retransmissions. In IoV network, the objective to increase network throughput can be achieved by minimizing packets re- transmission and optimizing bandwidth utilization. It has been observed that the congestion control mechanism (i.e., the congestion window) can plays a vital role in mitigating the aforementioned challenges. Thus, this paper present a cross-layer technique to controlling congestion in an IoV network based on throughput and buffer use. In the proposed approach, the receiver appends two bits in the acknowledgment (ACK) packet that describes the status of the buffer space and link utilization. The sender then uses this information to monitor congestion and limit the transmission of packets from the sender. The proposed model has been experimented extensively and the results demonstrate a significantly higher network performance percentage in terms of buffer utilization, link utilization, throughput, and packet loss.

Place, publisher, year, edition, pages
IEEE, 2023. Vol. 11, p. 9000-9013
Keywords [en]
AIMD, congestion control, energy efficiency, flow control, IoT, IoV, TCP
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:umu:diva-212111DOI: 10.1109/ACCESS.2023.3239302ISI: 000927834800001Scopus ID: 2-s2.0-85147308762OAI: oai:DiVA.org:umu-212111DiVA, id: diva2:1782757
Available from: 2023-07-17 Created: 2023-07-17 Last updated: 2023-07-17Bibliographically approved

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Sahoo, Kshira Sagar

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