Published February 28, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Hybrid Congestion Control Mechanisms for Next-Generation Communication Networks

Creators

  • 1. Department of Computer Sciene & Engineering, Dr. K. N. Modi University, Newai, Tonk (Rajasthan), India.

Contributors

Contact person:

  • 1. Department of Computer Sciene & Engineering, Dr. K. N. Modi University, Newai, Tonk (Rajasthan), India.
  • 2. Department of Computer Science and Engineering-IoT, GNIOT Engineering Institute, Greater Noida (Uttar Pradesh), India.

Description

Abstract: In the rapidly evolving realm of next-generation communication systems, characterized by ultra-low latency and high-speed data transmission, effectively managing network congestion remains a critical challenge. Traditional congestion control mechanisms often struggle to meet the demands of these advanced environments. This paper presents a novel approach that integrates both delay and loss metrics, specifically designed for 5G and beyond. By utilizing real-time variations in delay and packet loss as indicators of congestion, the proposed method enables dynamic adjustments of data transmission rates to mitigate congestion proactively. This strategy aims to minimize packet loss, reduce latency, and enhance throughput, addressing the needs of modern applications such as IoT and autonomous vehicles. Extensive simulations demonstrate significant improvements in network efficiency and reliability compared to traditional algorithms, contributing to the development of adaptive congestion control mechanisms that ensure consistent, high-quality service in complex network conditions.

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Additional details

Identifiers

DOI
10.35940/ijitee.B1034.14030225
EISSN
2278-3075

Dates

Accepted
2025-02-15
Manuscript received on 30 December 2024 | First Revised Manuscript received on 14 January 2025 | Second Revised Manuscript received on 28 January 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025.

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