Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN
The Amazon region has the largest hydrographic basin in the world. The rivers act as roads, and boats serve as vehicles for transporting passengers and cargo to large urban centers, municipalities, riverside communities, villages, and settlements. The Amazon River transportation system faces critica...
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MDPI AG
2025-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/2/496 |
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| author | Marlos Rodrigues Alyson dos Santos Hillermann Lima Warley Nogueira Vicente de Lucena Junior |
| author_facet | Marlos Rodrigues Alyson dos Santos Hillermann Lima Warley Nogueira Vicente de Lucena Junior |
| author_sort | Marlos Rodrigues |
| collection | DOAJ |
| description | The Amazon region has the largest hydrographic basin in the world. The rivers act as roads, and boats serve as vehicles for transporting passengers and cargo to large urban centers, municipalities, riverside communities, villages, and settlements. The Amazon River transportation system faces critical gaps due to the lack of land infrastructure in certain areas, which makes rivers essential for commerce and access to isolated communities. This work proposes the development of a new hardware platform consisting of a system-in-package (SiP)—iMCP HTLRBL32L and GPS, which enables data transfer over a network with long-range LoRa technology. In addition, we developed a new communication protocol between the end devices called the LoRa Protocol Proprietary (LPP). This protocol allows parameterizable commands (location table, modulation, routing, source and destination DevEUI, and port) to be sent between end devices, providing flexibility in the configuration and management of Internet of Things networks. The results of the practical experiments with the new hardware platform in the communication scenario between the end device and the gateway show that the maximum range was 16.928 km. In the communication scenario between the end devices, the maximum range was 12.447 km. It offers a stable platform for exchanging control information, which is fundamental to the safety of river transport in the Amazon. |
| format | Article |
| id | doaj-art-4be709a107f247a0902254ca8aa42493 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-4be709a107f247a0902254ca8aa424932025-01-24T13:49:08ZengMDPI AGSensors1424-82202025-01-0125249610.3390/s25020496Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWANMarlos Rodrigues0Alyson dos Santos1Hillermann Lima2Warley Nogueira3Vicente de Lucena Junior4Federal Institute of Education, Science, and Technology of Amazonas, Pólo de Inovação Manaus, Manaus 69075-351, AM, BrazilFederal Institute of Education, Science, and Technology of Amazonas, Pólo de Inovação Manaus, Manaus 69075-351, AM, BrazilFederal Institute of Education, Science, and Technology of Amazonas, Pólo de Inovação Manaus, Manaus 69075-351, AM, BrazilHana Electronics, Manaus 69075-010, AM, BrazilElectronic and Information Technology Research and Development Center (CETELI), Federal University of Amazonas, Manaus 69067-005, AM, BrazilThe Amazon region has the largest hydrographic basin in the world. The rivers act as roads, and boats serve as vehicles for transporting passengers and cargo to large urban centers, municipalities, riverside communities, villages, and settlements. The Amazon River transportation system faces critical gaps due to the lack of land infrastructure in certain areas, which makes rivers essential for commerce and access to isolated communities. This work proposes the development of a new hardware platform consisting of a system-in-package (SiP)—iMCP HTLRBL32L and GPS, which enables data transfer over a network with long-range LoRa technology. In addition, we developed a new communication protocol between the end devices called the LoRa Protocol Proprietary (LPP). This protocol allows parameterizable commands (location table, modulation, routing, source and destination DevEUI, and port) to be sent between end devices, providing flexibility in the configuration and management of Internet of Things networks. The results of the practical experiments with the new hardware platform in the communication scenario between the end device and the gateway show that the maximum range was 16.928 km. In the communication scenario between the end devices, the maximum range was 12.447 km. It offers a stable platform for exchanging control information, which is fundamental to the safety of river transport in the Amazon.https://www.mdpi.com/1424-8220/25/2/496Amazon rainforestinterconnected boatsrural networksLoRa |
| spellingShingle | Marlos Rodrigues Alyson dos Santos Hillermann Lima Warley Nogueira Vicente de Lucena Junior Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN Sensors Amazon rainforest interconnected boats rural networks LoRa |
| title | Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN |
| title_full | Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN |
| title_fullStr | Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN |
| title_full_unstemmed | Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN |
| title_short | Tracking Boats on Amazon Rivers—A Case Study with the LoRa/LoRaWAN |
| title_sort | tracking boats on amazon rivers a case study with the lora lorawan |
| topic | Amazon rainforest interconnected boats rural networks LoRa |
| url | https://www.mdpi.com/1424-8220/25/2/496 |
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