IoT-Based Voice Communication Control System for ATC Radar Simulator Support
Abstract
The Voice Communication Control System (VCCS) used in the Air Traffic Control (ATC) Radar Simulator plays an essential role in supporting communication between ATC trainees and pseudo pilots during simulation-based training. However, the existing proprietary VCCS faces obsolescence issues, limited component availability, and high maintenance costs, creating challenges for long-term operational sustainability. This study proposes an Internet of Things (IoT)-based VCCS prototype as an alternative communication control solution using embedded wireless control and Android-based human-machine interfaces. The system was developed using a prototype-based approach consisting of requirements identification, conceptual architecture design, implementation, and iterative testing. Functional testing was conducted to evaluate core communication control features, followed by reliability and performance evaluation through 100 operational testing cycles. The results show that the developed prototype successfully fulfilled all primary functional requirements, including wireless connectivity, channel switching, push-to-talk control, digital volume adjustment, and voice communication. Reliability testing demonstrated an operational reliability of 96%, while cost analysis showed a cost efficiency of 91.05% compared to conventional proprietary VCCS systems. These findings indicate that the proposed IoT-based VCCS provides a practical, reliable, and economically sustainable solution for communication control modernization in aviation training environments.
Downloads
References
Arun, M., Gopan, G., Vembu, S., Ozsahin, D. U., Ahmad, H., & Alotaibi, M. F. (2024). Internet of things and deep learning-enhanced monitoring for energy efficiency in older buildings. Case Studies in Thermal Engineering, 61, 104867. https://doi.org/10.1016/j.csite.2024.104867
Breznická, A., Kohutiar, M., Krbaťa, M., Eckert, M., & Mikuš, P. (2023). Reliability analysis during the life cycle of a technical system and the monitoring of reliability properties. Systems, 11(12), 556. https://doi.org/10.3390/systems11120556
Cogo, E., Cogo, E., Karabegović, A., Omanović, S., & Bešić, I. (2024). Usage of cause‐effect graphs for reliability analysis of an embedded IoT alarm software system. Quality and Reliability Engineering International, 40(5), 2915–2935. https://doi.org/10.1002/qre.3521
Delinchant, B., & Ferrari, J. (2021). Standards and technologies from building sector, IoT, and open-source trends. In Towards Energy Smart Homes (pp. 49–111). Springer International Publishing. https://doi.org/10.1007/978-3-030-76477-7_3
Hamasha, M., Albedoor, Q., Hamasha, S., Ali, H., Qamar, A., & Berrah, F. (2025). A comprehensive framework for IoT-driven predictive maintenance: Leveraging AI and edge computing for enhanced equipment reliability. Journal of Applied Engineering Science, 23(3), 471–486. https://doi.org/10.5937/jaes0-57002
Lea, Perry. (2020). IoT and edge computing for architects : implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security. Packt Publishing, Limited.
Li, X., Wang, S., & Cao, J. (2024). Cellular network-based IoT architecture for time-critical control tasks of building automation. Automation in Construction, 162, 105387. https://doi.org/10.1016/j.autcon.2024.105387
Likhitha U. N., Manjunath R., & Darshan N. (2024). IoT based home automation system with wi-fi and ESP8266. International Journal of Creative Research Thoughts, 12(7), 239–243. https://ijcrt.org/viewfull.php?&p_id=IJCRT2407267
Lisboa, Y., Santos, L., Lobato, E., Fonseca, W., Silva, K., Rodrigues, I., & Silva, M. (2025). Design and implementation of a sustainable IoT embedded system for monitoring temperature and humidity in photovoltaic power plants in the amazon. Sustainability, 17(6), 2347. https://doi.org/10.3390/su17062347
Malkawi, A., Ervin, S., Han, X., Chen, E. X., Lim, S., Ampanavos, S., & Howard, P. (2023). Design and applications of an IoT architecture for data-driven smart building operations and experimentation. Energy and Buildings, 295, 113291. https://doi.org/10.1016/j.enbuild.2023.113291
Misaros, M., Stan, O.-P., Enyedi, S., Stan, A., Niste, D. F., & Miclea, L. (2025). Reliability analysis of a smart indoor garden developed using IoT technologies. 2025 29th International Conference on System Theory, Control and Computing (ICSTCC), 349–354. https://doi.org/10.1109/ICSTCC66753.2025.11240333
Palomeque-Gonzalez, J. (2025). A modular, low-cost iot system for environmental and behavioural monitoring in cultural heritage sites. https://arxiv.org/abs/2508.00849
Pancane, I. W. D., Hermawan, Y., & Kumara, I. N. I. (2025). Design and implementation of IoT-based smart home system with ESP8266 for energy efficiency. Formosa Journal of Computer and Information Science, 4(1), 71–82. https://doi.org/10.55927/fjcis.v4i1.14084
Rathee, G., Ahmad, F., Iqbal, R., & Mukherjee, M. (2021). Cognitive automation for smart decision-making in industrial internet of things. IEEE Transactions on Industrial Informatics, 17(3), 2152–2159. https://doi.org/10.1109/TII.2020.3013618
Sharma, H., Jain, V., Mogaji, E., & Babbilid, A. S. (2024). Blended learning and augmented employability: a multi-stakeholder perspective of the micro-credentialing ecosystem in higher education. International Journal of Educational Management, 38(4), 1021–1044. https://doi.org/10.1108/IJEM-12-2022-0497
Syahban, M. N. E., & Misbah, M. (2025). Implementation of building automation system on smart stove to prevent fire in apartment based on virtuino. G-Tech: Jurnal Teknologi Terapan, 9(2), 947–956. https://doi.org/10.70609/gtech.v9i2.6793
Tavana, M., Ozger, M., Baltaci, A., Schleicher, B., Tepper, J., Duhovnikov, S., Schupke, D., & Cavdar, C. (2021). Wireless power transfer system design for low-rate in-cabin applications. 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), 235–240. https://doi.org/10.1109/ICCE48956.2021.9352041
Whitworth, H., Al-Rubaye, S., Tsourdos, A., Jiggins, J., Silverthorn, N., & Thomas, K. (2021). Aircraft to operations communication analysis and architecture for the future aviation environment. 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1–8. https://doi.org/10.1109/DASC52595.2021.9594426
Xu, K., Yu, Y., & Zhan, J. (2025). Design and architecture of a voice-interactive control system for smart building environments. Proceedings of the 2025 International Conference on Artificial Intelligence, Virtual Reality and Interaction Design, 99–104. https://doi.org/10.1145/3777730.3777748
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel IoT-Based Voice Communication Control System for ATC Radar Simulator Support
Pages: 1508-1518
Copyright (c) 2026 Ayub Wimatra, Sunardi Sunardi, Julfansyah Margolang, Catra Indra Cahyadi

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).













