Publication:
Network simulation in a TCP-enabled industrial internet of things environment - reproducibility issues for performance evaluation

Date

2022

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

Abstract

Network simulation is a tool used to analyse and predict the performance of Industrial Internet of Things deployments while dealing with the complexity of real testbeds. Large network deployments with complex protocols such as Transmission Control Protocol are subject to chaos-theory behaviour, i.e. small changes in the implementation of the protocol stack or simulator behaviour may result in large differences in the performance results. We present the results of simulating two different scenarios using three simulators. The first scenario focuses on the Incast phenomenon in a local area network where sensor data are collected. The second scenario focuses on a congested link traversed by the collected measurements. The performance metrics obtained from the simulators are compared among them and with ground-truth obtained from real network experiments. The results demonstrate how subtle implementation differences in network simulators impact performance results, and how network engineers must consider these differences.

Description

Keywords

Computational modeling, Computer simulation, Data models, Industrial Internet of Things, Informatics, Internet of Things, Protocols, Reproducibility, Software, Switches

Department

Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren / Institute of Smart Cities - ISC / Ingeniería Eléctrica, Electrónica y de Comunicación

Faculty/School

Degree

Doctorate program

item.page.cita

D. Morato, C. Pérez-Gómara, E. Magaña and M. Izal, 'Network Simulation in a TCP-Enabled Industrial Internet of Things Environment-Reproducibility Issues for Performance Evaluation,' in IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 807-815, Feb. 2022, doi: 10.1109/TII.2021.3084128

item.page.rights

This work is licensed under a Creative Commons Attribution 4.0 License

Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.