Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5324
Title: Performance Comparison of Modified BALIA and LIA Multipath TCP Algorithms
Authors: Chatterjee, Akash
Biswal, Subhra Priyadarshini
Alanam, Khair
Kumar, Arun
Patel, Sanjeev
Keywords: MPTCP
Congestion Control
Fairness
Throughput
Issue Date: Sep-2025
Citation: International Conference on Next-Generation Networks and Deployable Artificial Intelligence (NGNDAI), MNNIT Allahabad, Prayagraj, 18-20 September 2025
Abstract: Multipath Transmission Control Protocol (MPTCP) has emerged as a promising solution to leverage the capabilities of modern heterogeneous networks by enabling simultaneous data transmission across multiple paths. However, efficiently managing congestion control in MPTCP remains a critical challenge due to the need for fairness, stability, and optimal resource utilization. This paper provides a comprehensive analysis of state-of-the-art MPTCP congestion control algorithms with modified BALIA, focusing on their design principles, performance trade-offs, and applicability in diverse network environments. Specifically, we examine Linked Increases Algorithm (LIA), which balances throughput optimization and fairness with single-path TCP, Opportunistic Linked Increases Algorithm (OLIA), which enhances stability and responsiveness, and Balanced Linked Adaptation (BALIA) Algorithm, which aims to achieve a better trade-off between throughput, fairness, and convergence. Through extensive simulations and real-world experiments, we evaluate the performance of these algorithms in terms of throughput, end-to-end delay, loss ratio, and resilience to network dynamics. This finding will help in designing a smart communication system.
Description: Copyright belongs to the proceeding publisher.
URI: http://hdl.handle.net/2080/5324
Appears in Collections:Conference Papers

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