Sabari Nathan Anbalagan received his B. Tech. and M. Tech degrees in information technology from Anna University, Chennai, India and International Institute of Information Technology, Bangalore, India in 2015 and 2018 respectively. He specialized in networking and communication. In 2018, he joined the Pervasive Systems research group of the University of Twente, The Netherlands to pursue his Ph. D. His current research focusses on reliable wireless networking for industrial IoT. 

Expertise

  • Computer Science

    • Industrial Internet of Things
    • Industry 4.0
    • 5G
    • Channel Quality
    • Throughput
    • Ultra Reliable Low Latency Communication
    • Mobile Broadband
    • Application

Organisations

Publications

2024

Fine Grained vs Coarse Grained Channel Quality Prediction: A 5G-RedCap Perspective for Industrial IoT Networks (2024)In 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS) (pp. 1-7). IEEE. Anbalagan, S. N., Chiumento, A. & Havinga, P. J. M.Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis (2024)Procedia computer science, 232, 2730-2739. Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2024.02.090

2023

VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT Networks (2023)In IEEE 9th World Forum on Internet of Things 2023 (Accepted/In press). Anbalagan, S. N., Havinga, P. J. M. & Chiumento, A.

2021

Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems (2021)Iron and Steel Technology, 18(9), 154-162. Article PR-TN1221-1. Schwarz, M. M., Anbalagan, S. N., Jagers, S. & Loendersloot, R.https://doi.org/10.33313/TR/1221A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction (2021)In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). Article 9448944 (IEEE Vehicular Technology Conference, VTC; Vol. 2021). IEEE. Anbalagan, S. N., Litjens, R., Das, K., Chiumento, A., Havinga, P. J. M. & van den Berg, H. L.https://doi.org/10.1109/VTC2021-Spring51267.2021.9448944

2020

Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)In 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings (pp. 1115-1120). Article 9152553 (IEEE International Symposium on Industrial Electronics; Vol. 2020-June). IEEE. Anbalagan, S. N., Seraj, F. & Havinga, P.https://doi.org/10.1109/ISIE45063.2020.9152553Data underlying the paper: Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT (2020)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Anbalagan, S. N. & Klein Brinke, J.https://doi.org/10.4121/uuid:31f9e127-4285-4ab3-a242-2e57c7e67430

Research profiles

Sabari Nathan Anbalagan has served as the teaching assistant for a couple of courses, namely: Internet of Things and Ubiquitous Computing/Pervasive Computing. 

He has supervised a Bachelors student in his research project titled, "Sensitivity Analysis of Predicting Wireless Channels within an Indoor Factory Floor". 

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Address

University of Twente

Zilverling (building no. 11), room 5006
Hallenweg 19
7522 NH Enschede
Netherlands

Navigate to location

Organisations

Scan the QR code or
Download vCard