research-article

A Trace-based ns-3 Simulation Approach for Perpetuating Real-World Experiments

Authors:

Helder Fontes,

Rui Campos,

Manuel RicardoAuthors Info & Claims

WNS3 '17: Proceedings of the 2017 Workshop on ns-3

Pages 118 - 124

https://doi.org/10.1145/3067665.3067681

Published: 13 June 2017 Publication History

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Abstract

A common problem in mobile networking research and development is the cost related to deploying and running real-world mobile testbeds. Due to cost and operational constraints, these testbeds usually run for short time periods but generate very unique and relevant results that are hard to reproduce.

We propose the use of ns-3 as a solution to successfully reproduce real-world mobile testbed experiments. This is accomplished by feeding ns-3 with real testbed traces including node positions and radio link quality only. In order to validate our approach, the network throughput between a fixed Base Station and a Unmanned Aerial Vehicle (UAV) was measured in a real-world testbed. The experimental results were compared to the network throughput achieved using the ns-3 trace-based simulation and a plain ns-3 simulation. The obtained results show the high accuracy of the trace-based simulation, thus validating our approach.

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Gallegos Ramonet APecorella TPicano BKinoshita K(2024)Perspectives on IoT-oriented network simulation systemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110749253:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110749
Almeida EFontes HCampos RRicardo M(2023)Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3Proceedings of the 2023 Workshop on ns-310.1145/3592149.3592150(69-77)Online publication date: 28-Jun-2023
https://dl.acm.org/doi/10.1145/3592149.3592150
Chang KDu YLiu MShi JZhou YLi Y(2023)OS Packet Processing Mechanism Simulation Architecture for Enabling Digital Twins of Networks in ns-32023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253819(186-193)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253819
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Published In

WNS3 '17: Proceedings of the 2017 Workshop on ns-3

June 2017

134 pages

ISBN:9781450352192

DOI:10.1145/3067665

Conference Chairs:
Brian Swenson
Georgia Institute of Technology, USA
,
Eric Gamess
Universidad Central de Venezuela, Venezuela
,
General Chair:
Manuel Ricardo

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM: Association for Computing Machinery
Universidade do Porto: Universidade do Porto
University of Washington: University of Washington

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New York, NY, United States

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Published: 13 June 2017

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WNS3 '17: Workshop on ns-3

June 13 - 14, 2017

Porto, Portugal

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Gallegos Ramonet APecorella TPicano BKinoshita K(2024)Perspectives on IoT-oriented network simulation systemsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110749253:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110749
Almeida EFontes HCampos RRicardo M(2023)Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3Proceedings of the 2023 Workshop on ns-310.1145/3592149.3592150(69-77)Online publication date: 28-Jun-2023
https://dl.acm.org/doi/10.1145/3592149.3592150
Chang KDu YLiu MShi JZhou YLi Y(2023)OS Packet Processing Mechanism Simulation Architecture for Enabling Digital Twins of Networks in ns-32023 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC59175.2023.10253819(186-193)Online publication date: 17-Nov-2023
https://doi.org/10.1109/IPCCC59175.2023.10253819
Almeida ERushad MKota SNambiar AHarti HGupta CWaseem DSantos GFontes HCampos RTahiliani M(2022)Machine Learning Based Propagation Loss Module for Enabling Digital Twins of Wireless Networks in ns-3Proceedings of the 2022 Workshop on ns-310.1145/3532577.3532607(17-24)Online publication date: 22-Jun-2022
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Huamantuma ASantivanez C(2022)A NS-3-based Cloud Wireless Network’s Emulator for Undergraduate Teaching2022 IEEE World Engineering Education Conference (EDUNINE)10.1109/EDUNINE53672.2022.9782350(1-6)Online publication date: 13-Mar-2022
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Yan BWang LSu YTian YLu B(2021)A Novel Routing Metric for Underwater Optical Wireless Communication Using ns-32021 7th International Conference on Big Data Computing and Communications (BigCom)10.1109/BigCom53800.2021.00024(44-51)Online publication date: Aug-2021
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Improving the ns-3 TraceBasedPropagationLossModel to support multiple access wireless scenarios

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Improving the ns-3 TraceBasedPropagationLossModel to support multiple access wireless scenarios

Reproducible MIMO operation in ns-3 using trace-based wi-fi rate adaptation

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