Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters
Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the bo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Ital Publication
2023-07-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | https://www.ijournalse.org/index.php/ESJ/article/view/1689 |
| _version_ | 1797774697189867520 |
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| author | Diaz Saputra Ford Lumban Gaol Edi Abdurachman Dana Indra Sensuse Tokuro Matsuo |
| author_facet | Diaz Saputra Ford Lumban Gaol Edi Abdurachman Dana Indra Sensuse Tokuro Matsuo |
| author_sort | Diaz Saputra |
| collection | DOAJ |
| description | Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the boat monitoring system is a challenging task, especially in the transport system. This paper has the objective of developing an architectural model of a modified LoRaWAN-based boat monitoring system that is connected to a GPS-based mobile device and base station. The proposed architectural model is an integration of Bluetooth Low Energy (BLE) and LoRaWAN networks, which are also tested in real time to solve the boat traffic monitoring issues. The field tests with parameters of signal transmission, location coordinates, and position of the boats are also presented. The analysis result shows the proposed model is suitable for waters with high noise levels, especially in shallow water and delta rivers. The signal noise can be reduced by extracting the real-time data. In addition, signal interference can be minimized. The performance of this system is also compared to the reference system in real conditions, which shows an adequate correlation result. This proof of concept forms an important basis for deploying it for large-scale applications and commercialization capabilities.
Doi: 10.28991/ESJ-2023-07-04-011
Full Text: PDF |
| first_indexed | 2024-03-12T22:24:53Z |
| format | Article |
| id | doaj.art-9f848db23834430abc57e5f5705f6c71 |
| institution | Directory Open Access Journal |
| issn | 2610-9182 |
| language | English |
| last_indexed | 2024-03-12T22:24:53Z |
| publishDate | 2023-07-01 |
| publisher | Ital Publication |
| record_format | Article |
| series | Emerging Science Journal |
| spelling | doaj.art-9f848db23834430abc57e5f5705f6c712023-07-22T11:51:16ZengItal PublicationEmerging Science Journal2610-91822023-07-01741188120510.28991/ESJ-2023-07-04-011516Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow WatersDiaz Saputra0Ford Lumban Gaol1Edi Abdurachman2Dana Indra Sensuse3Tokuro Matsuo4Department of Computer Science, Bina Nusantara University, Jakarta,Department of Computer Science, Bina Nusantara University, Jakarta,Lecturer of Doctor of Research in Management, Bina Nusantara University, Jakarta,Faculty of Computer Science, University of Indonesia, Jakarta,Advanced Institute of Industrial Technology (AIIT), Tokyo,Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the boat monitoring system is a challenging task, especially in the transport system. This paper has the objective of developing an architectural model of a modified LoRaWAN-based boat monitoring system that is connected to a GPS-based mobile device and base station. The proposed architectural model is an integration of Bluetooth Low Energy (BLE) and LoRaWAN networks, which are also tested in real time to solve the boat traffic monitoring issues. The field tests with parameters of signal transmission, location coordinates, and position of the boats are also presented. The analysis result shows the proposed model is suitable for waters with high noise levels, especially in shallow water and delta rivers. The signal noise can be reduced by extracting the real-time data. In addition, signal interference can be minimized. The performance of this system is also compared to the reference system in real conditions, which shows an adequate correlation result. This proof of concept forms an important basis for deploying it for large-scale applications and commercialization capabilities. Doi: 10.28991/ESJ-2023-07-04-011 Full Text: PDFhttps://www.ijournalse.org/index.php/ESJ/article/view/1689lorawantraffic monitoringshallow waterssensornetwork. |
| spellingShingle | Diaz Saputra Ford Lumban Gaol Edi Abdurachman Dana Indra Sensuse Tokuro Matsuo Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters Emerging Science Journal lorawan traffic monitoring shallow waters sensor network. |
| title | Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters |
| title_full | Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters |
| title_fullStr | Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters |
| title_full_unstemmed | Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters |
| title_short | Architectural Model and Modified Long Range Wide Area Network (LoRaWAN) for Boat Traffic Monitoring and Transport Detection Systems in Shallow Waters |
| title_sort | architectural model and modified long range wide area network lorawan for boat traffic monitoring and transport detection systems in shallow waters |
| topic | lorawan traffic monitoring shallow waters sensor network. |
| url | https://www.ijournalse.org/index.php/ESJ/article/view/1689 |
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