Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17034
Title: TRON: Traffic Management and Resource Allocation for SDN-Enabled 5G/6G Networks
Authors: Agrawal, Lalita
Mondal, Ayan
Keywords: 5G/6G Network;Group Table;Mininet Emulator;SDN;Traffic Management
Issue Date: 2025
Publisher: IEEE Computer Society
Citation: Agrawal, L., & Mondal, A. (2025). TRON: Traffic Management and Resource Allocation for SDN-Enabled 5G/6G Networks. IEEE Workshop on Local and Metropolitan Area Networks. https://doi.org/10.1109/LANMAN66415.2025.11154616
Abstract: The evolution of Software-Defined Networking (SDN) and network slicing has revolutionized network management in Fifth-Generation (5G) and Sixth-Generation (6G) systems to enable flexible and programmable resource control. However, efficient traffic management and dynamic resource allocation under heterogeneous traffic demands remain challenging. This paper proposes TRON, an adaptive traffic management and resource allocation framework that leverages OpenFlow Group Tables to optimize link utilization across network slices for data and VoIP traffic. Integrated with the Ryu SDN controller, TRON employs real-time flow redirection and intelligent traffic splitting. Experimental evaluations using Mininet and Open vSwitch show that TRON improves link utilization by 22.5%-43.25% and network throughput by 31.64%-56.55% compared to baseline approaches. The simulation results highlight that TRON provides a lightweight and real-time traffic management framework for SDN-enabled 5G/6G networks. © 2025 Elsevier B.V., All rights reserved.
URI: https://dx.doi.org/10.1109/LANMAN66415.2025.11154616
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17034
ISBN: 9781665445795
9781728114347
9780780371729
9781538607282
9781467367615
9781538645338
0780371720
9781457712654
9798350346930
9798350352092
ISSN: 1944-0375
1944-0367
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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