Sabari Nathan Anbalagan

Research output

Research output per year 2020 2021 2024 2024

• 4 Conference contribution
• 1 Article
• 1 Conference article
• 1 PhD Thesis - Research UT, graduation UT

Research output per year

Research output per year

Search results

• 2024

  Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis

  Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M., 20 Mar 2024, In: Procedia computer science. 232, p. 2730-2739 10 p.

  Research output: Contribution to journal › Conference article › Academic › peer-review

  Open Access

  File

  • Industry 4.0 100%
  • Industrial Internet of Things 100%
  • Communication 33%
  • Network Traffic 33%
  • Case Study 33%
  1 Citation (Scopus)

  70 Downloads (Pure)

• Fine Grained vs Coarse Grained Channel Quality Prediction: A 5G-RedCap Perspective for Industrial IoT Networks

  Anbalagan, S. N., Chiumento, A. & Havinga, P. J. M., 31 May 2024, 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS). IEEE, p. 1-7 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Internet of Things 100%
  • Channel Quality 100%
  • Communication 66%
  • Complexity 33%
  • Light 33%
  53 Downloads (Pure)

• SPECTRUM: Towards Self-aware Industrial IoT Systems

  Anbalagan, S. N., 3 Dec 2024, Enschede: University of Twente. 163 p.

  Research output: Thesis › PhD Thesis - Research UT, graduation UT

  Open Access

  File

  • Artificial Intelligence 100%
  • Scalability 100%
  • Industrial Internet 100%
  • Dynamic Nature 28%
  • Service Requirement 28%
  181 Downloads (Pure)
• 2023

  VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT Networks

  Anbalagan, S. N., Havinga, P. J. M. & Chiumento, A., 26 Oct 2023, (Accepted/In press) IEEE 9th World Forum on Internet of Things 2023.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Industrial Internet of Things 100%
  • Throughput 100%
  • 5G 100%
  • Link Adaptation 40%
  • Simulation 20%
  128 Downloads (Pure)
• 2021

  A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction

  Anbalagan, S. N., Litjens, R., Das, K., Chiumento, A., Havinga, P. J. M. & van den Berg, H. L., 15 Jun 2021, 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). Piscataway, NJ: IEEE, 9448944. (IEEE Vehicular Technology Conference, VTC; vol. 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Ultra Reliable Low Latency Communication 100%
  • Mobile Broadband 100%
  3 Citations (Scopus)

  194 Downloads (Pure)

• Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems

  Schwarz, M., Anbalagan, S. N., Jagers, S. & Loendersloot, R., 1 Dec 2021, In: Iron and Steel Technology. 18, 9, p. 154-162 9 p., PR-TN1221-1.

  Research output: Contribution to journal › Article › Professional

  Open Access

  File

  • Industry 4.0 100%
  • Industrial Internet of Things 100%
  • Application 50%
  • Prevents 16%
  • Cyber Physical Systems 16%
  3 Citations (Scopus)

  58 Downloads (Pure)
• 2020

  Towards Factory Schedule based Adaptation for Reliable Networking in Industrial IoT

  Anbalagan, S. N., Seraj, F. & Havinga, P., 17 Jun 2020, 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings. Piscataway, NJ: IEEE, p. 1115-1120 6 p. 9152553. (IEEE International Symposium on Industrial Electronics; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File

  • Industrial Internet of Things 100%
  • Reception Rate 33%
  2 Citations (Scopus)

  84 Downloads (Pure)