Challenge in Future Ip-Based Voice Communication System for Air Traffic Control

Nurhidayatulloh Nurhidayatulloh; Hendrawan Hendrawan

doi:10.17509/edsence.v6i1.72266

Challenge in Future Ip-Based Voice Communication System for Air Traffic Control

Nurhidayatulloh Nurhidayatulloh, Hendrawan Hendrawan

Abstract

The most important part of the modernization of Air Traffic Management (ATM) is the Voice Switching and Control System (VSCS) based on Circuit Switching (CS) technology. This technology has Quality of Service (QoS) on Bandwidth, Delay, and Jitter, but it is expensive to implement in small and medium airports. The development of Packet Switching (PS) technology with Internet Protocol (IP) is expected to become an alternative to modern and affordable systems such as the IP-based VSCS communication system. This research uses literature study and experimental methods to develop features and components of a portable IP-based VSCS communication system. The measurement results of this prototype have a delay of 100-150 ms, jitter below 50 ms, 0% packet loss, and varying throughput. Thus, the VSCS prototype built has performed according to the standards required by the International Civil Aviation Organization.

Keywords

Voice Switching and Control, System (VSCS), Circuit Switching (CS), Packet Switching (PS), Internet Protocol (IP), Air Traffic Control (ATC), portable

Full Text:

PDF

References

Al-Turjman, F., Zahmatkesh, H. and Mostarda, L. (2019). ‘Quantifying uncertainty in internet of medical things and big-data services using intelligence and deep learning’, IEEE Access, 7, 115749–115759. doi: 10.1109/ACCESS.2019.2931637.

Ang, L. M. et al. (2018). ‘Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges’, IEEE Access, 7(December), 1–19. doi: 10.1109/ACCESS.2018.2887076.

Dwivedi, A. D. et al. (2019). ‘A Decentralized Privacy-Preserving Healthcare Blockchain for IoT’, Sensors (Switzerland), 19(2), 1–17. doi: 10.3390/s19020326.

Huang, M. et al. (2019). ‘A Queuing Delay Utilization Scheme for On-path Service Aggregation in Services- Oriented Computing Networks’, IEEE Access, 7(2), 23816–23833. doi: 10.1109/ACCESS.2019.2899402.

Hussain, N. and Varon, J. (2021). ‘The Future of COVID-19’, Current Respiratory Medicine Reviews, 17(4), 199–200. doi: 10.37757/MR2020.V22.N3.8.

Kumar, S. and Singh, M. (2019). ‘Big data analytics for healthcare industry: Impact, applications, and tools’, Big Data Mining and Analytics, 2(1), 48–57. doi: 10.26599/BDMA.2018.9020031.

Lau, B. P. L. et al. (2019). ‘A survey of data fusion in smart city applications’, Information Fusion, 52(October), 357–374. doi: 10.1016/j.inffus.2019.05.004.

Liu, W. et al. (2023). ‘Risk Topics Discovery and Trend Analysis in Air Traffic Control Operations—Air Traffic Control Incident Reports from 2000 to 2022’, Sustainability (Switzerland), 15(15). doi: 10.3390/su151512065.

Mosavi, A. et al. (2019). ‘Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning’, Engineering Applications of Computational Fluid Mechanics, 13(1), 482–492. doi: 10.1080/19942060.2019.1613448.

Nguyen, G. et al. (2019). ‘Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey’, Artificial Intelligence Review, 52(1), 77–124. doi: 10.1007/s10462-018-09679-z.

Nishkar Kumar, N. and Patel, A. (2024). ‘A test of the tourism Dutch disease hypothesis in developing countries’, Journal of Air Transport Management, 116(September 2023), 102577. doi: 10.1016/j.jairtraman.2024.102577.

Özmen, S., Hamzaoui, R. and Chen, F. (2024). ‘Survey of IP-based air-to-ground data link communication technologies’, Journal of Air Transport Management, 116(July 2022). doi: 10.1016/j.jairtraman.2024.102579.

Palanisamy, V. and Thirunavukarasu, R. (2019). ‘Implications of big data analytics in developing healthcare frameworks – A review’, Journal of King Saud University, 31(4), 415–425. doi: https://doi.org/10.1016/j.jksuci.2017.12.007.

Permana, A. (2022). Indonesia Diproyeksikan Bakal Jadi Salah Satu Negara dengan Pasar Penerbangan Terbesar di Dunia, Institut Teknologi Bandung. https://www.itb.ac.id/berita/indonesia-diproyeksikan-bakal-jadi-salah-satu-negara-dengan-pasar-penerbangan-terbesar-di-dunia/58556.

Sadowski, J. (2019). ‘When data is capital: Datafication, accumulation, and extraction’, Big Data and Society, 6(1), 1–12. doi: 10.1177/2053951718820549.

Setiawan, C. and Hendrawan. (2020). ‘Design and analysis of the performance of voice switching control system prototypes for air traffic control’, Proceedings - 2020 6th International Conference on Wireless and Telematics, ICWT 2020, (February), 2–8. doi: 10.1109/ICWT50448.2020.9243652.

Shorten, C. and Khoshgoftaar, T. M. (2019). ‘A survey on Image Data Augmentation for Deep Learning’, Journal of Big Data, 6(1). doi: 10.1186/s40537-019-0197-0.

Sivaraman, K. et al. (2019). ‘Network Failure Detection and Diagnosis by Analyzing Syslog and SNS Data: Applying Big Data Analysis to Network Operations’, International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue 3), 883–887. doi: 10.35940/ijitee.I3187.0789S319.

Vinayakumar, R. et al. (2019). ‘Deep Learning Approach for Intelligent Intrusion Detection System’, IEEE Access, 7(April), 41525–41550. doi: 10.1109/ACCESS.2019.2895334.

Wu, Y. et al. (2019). ‘Large scale incremental learning’, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2019-June, 374–382. doi: 10.1109/CVPR.2019.00046.

Yu, Y. et al. (2019). ‘Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks’, Big Data Mining and Analytics, 2(4), 288–305. doi: 10.26599/BDMA.2019.9020007.

DOI: https://doi.org/10.17509/edsence.v6i1.72266