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Smart Congestion Control and Path Scheduling in MPTCP

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IOT with Smart Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 312))

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Abstract

Featuring the recent rise of mobile technology, new devices with a variety of connection ports have become more popular. Multiple communication interfaces may now be usable over a single TCP connection thanks to the multi-path transmission control protocol (MPTCP), which was developed to speed up Internet use. There are three main design aims for the MPTCP congestion management algorithms: better performance, more fairness, and congestion balancing. MPTCP congestion control algorithms now in use cannot achieve these design goals. Due to its inability to leverage the network, an MPTCP congestion-control algorithm, such as OLIA, often results in poor performance. With the current Internet’s enormous volume of transient traffic, it is difficult to keep track of MPTCP congestion management techniques. MPTCP congestion control methods may benefit from being aware of current network delay conditions. There are various sub flows in an MPTCP connection, and the schedulers are employed to deal with this heterogeneity. MPTCP’s scheduler is an important part of the software. In this study, MPTCP congestion management and MPTCP schedulers are discussed.

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  1. EXTC, TSEC, Mumbai, Maharashtra, India

    Neha Rupesh Thakur & Ashwini S. Kunte

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  1. Neha Rupesh Thakur
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  2. Ashwini S. Kunte
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Correspondence to Neha Rupesh Thakur .

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Editors and Affiliations

  1. Hertfordshire Business School, University of Hertfordshire, Hatfield, Hertfordshire, UK

    Jyoti Choudrie

  2. Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

    Parikshit Mahalle

  3. University Putra Malaysia, Serdang, Malaysia

    Thinagaran Perumal

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Thakur, N.R., Kunte, A.S. (2023). Smart Congestion Control and Path Scheduling in MPTCP. In: Choudrie, J., Mahalle, P., Perumal, T., Joshi, A. (eds) IOT with Smart Systems. Smart Innovation, Systems and Technologies, vol 312. Springer, Singapore. https://doi.org/10.1007/978-981-19-3575-6_71

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