Enabling Maritime 4.0 through LoRa-Based Engine Room Monitoring Systems: A Literature Review

Authors

  • Ian Mochamad Sofian Politeknik Pelayaran Banten
  • Yosi Apriani Universitas Muhammadiyah Tangerang
  • Budi Purnomo Politeknik Pelayaran Banten
  • Indah Purnaningratri Politeknik Pelayaran Banten

DOI:

https://doi.org/10.31851/5v0zhg21

Keywords:

Maritime 4.0, LoRa, IoT, Engine Room Monitoring, Ships

Abstract

The maritime industry is undergoing a significant digital transformation driven by the emergence of Maritime 4.0, which emphasizes the integration of smart communication networks, Internet of Things (IoT) technology, real-time monitoring, and data-driven decision-making systems. Among these technologies, Long Range (LoRa) communication is gaining increasing attention due to its low power consumption, wide communication range, and suitability for distributed sensor applications in shipboard environments. However, research on the role of LoRa-based ship engine room monitoring systems in supporting Maritime 4.0 remains limited. Therefore, this study aims to conduct a systematic review of the current state of knowledge regarding the development, applications, opportunities, and challenges of LoRa-based ship engine room monitoring systems for commercial ships. This study employs a Systematic Literature Review approach following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Relevant publications were identified through major academic databases and screened using predetermined inclusion and exclusion criteria. Selected studies were analyzed through thematic synthesis to identify key research trends and technological developments. Findings indicate that LoRa-based monitoring systems have evolved from simple wireless communication solutions into supporting infrastructure for smart engine room operations. The literature highlights their contributions to real-time condition monitoring and the Internet of Marine Things ecosystem. Additionally, the integration of LoRa with artificial intelligence, digital twins, and low-power sensor networks emerges as a key research direction. Despite these advancements, challenges related to operational capability, cybersecurity, large-scale deployment, and real-world validation remain inadequately addressed. This review concludes that LoRa-based engine room monitoring systems represent a critical technological foundation for Maritime 4.0 and offer significant potential to enhance the efficiency, reliability, safety, and sustainability of future commercial shipping operations.

Author Biographies

  • Ian Mochamad Sofian, Politeknik Pelayaran Banten

    Program Studi Permesinan Kapal

  • Yosi Apriani, Universitas Muhammadiyah Tangerang

    Program Studi Teknik Elektro

  • Budi Purnomo, Politeknik Pelayaran Banten

    Program Studi Permesinan Kapal

  • Indah Purnaningratri, Politeknik Pelayaran Banten

    Program Studi Permesinan Kapal

References

[1] H. Wu, R. Jiang, X. Wu, X. Chen, and T. Liu, “Marine Diesel Engine Fault Detection Based on Xilinx ZYNQ SoC,” Applied Sciences (Switzerland), vol. 14, no. 12, Jun. 2024, doi: 10.3390/app14125152.

[2] W. Wu, B. Wei, G. Li, L. Chen, J. Wang, and J. Ma, “Study on ammonia gas high temperature corrosion coupled erosion wear characteristics of circulating fluidized bed boiler,” Eng. Fail. Anal., vol. 132, Feb. 2022, doi: 10.1016/j.engfailanal.2021.105896.

[3] J. Zhang, J. Jiang, S. Zhang, P. Zhang, J. Dong, and Z. Sun, “A Review of Research on Intelligent Engine Room Systems,” in Advances in Transdisciplinary Engineering, IOS Press BV, Oct. 2023, pp. 1003–1011. doi: 10.3233/ATDE230571.

[4] L. Xie, C. Xing, Y. Wu, and D. Zhang, “Design and realization of marine internet of things environmental parameter acquisition system based on NB-IoT Technology,” in ACM International Conference Proceeding Series, Association for Computing Machinery, Feb. 2021, pp. 257–260. doi: 10.1145/3456415.3456457.

[5] G. P. Reddy, S. Sinha, and S.-H. Park, “Analysis of Research Trends in Maritime Communication,” 2024. [Online]. Available: www.ijacsa.thesai.org

[6] J. Kong, “Application and Research of Artificial Intelligence in Digital Library,” in Advances in Intelligent Systems and Computing, Springer Science and Business Media Deutschland GmbH, 2021, pp. 318–325. doi: 10.1007/978-981-33-4572-0_47.

[7] J. Gu, M. Park, S. Lee, H. Kang, and B. Kim, “Evaluation of a Multi-Hop Wireless Internet-of-Things Network on Large Ships,” J. Mar. Sci. Eng., vol. 11, no. 12, Dec. 2023, doi: 10.3390/jmse11122243.

[8] H. Yu et al., “High Performance and Stackable Trampoline Like-Triboelectric Vibration Energy Harvester for In-Situ Powering Sensor Node with Data Wirelessly Transmitted Over 1000-m,” Adv. Energy Mater., vol. 14, no. 24, Jun. 2024, doi: 10.1002/aenm.202400585.

[9] M. Zhang, N. Tsoulakos, P. Kujala, and S. Hirdaris, “A deep learning method for the prediction of ship fuel consumption in real operational conditions,” Eng. Appl. Artif. Intell., vol. 130, Apr. 2024, doi: 10.1016/j.engappai.2023.107425.

[10] M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” Mar. 29, 2021, Public Library of Science. doi: 10.1371/JOURNAL.PMED.1003583.

[11] M. L. Rethlefsen et al., “PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews,” Syst. Rev., vol. 10, no. 1, Dec. 2021, doi: 10.1186/s13643-020-01542-z.

[12] L. Li, X. Ma, and J. Yang, “A bibliometric analysis on Internet of Things research for maritime industry 4.0,” Front. Mar. Sci., vol. 13, May 2026, doi: 10.3389/fmars.2026.1843040.

[13] I. Durlik, T. Miller, D. Cembrowska-Lech, A. Krzemińska, E. Złoczowska, and A. Nowak, “Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications,” Sep. 01, 2023, Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app13179742.

[14] I. Maglogiannis, S. Hadjiefthymiades, H. Marketing, E. S. Belgian Liaison Office, and B. Patrick Hartigan, “Biographical notes: Dr. Ilias Maglogiannis received a Diploma in Electrical &,” 2005.

[15] V. Bolbot, K. Kulkarni, P. Brunou, O. V. Banda, and M. Musharraf, “Developments and research directions in maritime cybersecurity: A systematic literature review and bibliometric analysis,” Dec. 01, 2022, Elsevier B.V. doi: 10.1016/j.ijcip.2022.100571.

Downloads

Published

2026-07-15

How to Cite

[1]
“Enabling Maritime 4.0 through LoRa-Based Engine Room Monitoring Systems: A Literature Review”, AMPERE, vol. 11, no. 1, pp. 34–52, Jul. 2026, doi: 10.31851/5v0zhg21.