Loading...
2 results
Search Results
Now showing 1 - 2 of 2
- SeaMote - Interactive Remotely Operated Apparatus for Aquatic ExpeditionsPublication . Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Lopes, Jorge; Sousa, Michael; Monteiro, João; Nunes, Nuno JardimIoT has been widely adopted by HCI communities and citi zen scientists to sense and control the surrounding environments. While their applications are mostly reported in urban settings, they remain scarce in aquatic settings. Oceans are undergoing an immense increase of human generated pollution ranging from noise to marine litter, where current USV solutions to detect its impact on environment remain at high cost. In our study, we design a first low-cost, long-range, radio controlled USV, based on IoT and LoRa, intended to be used for aquatic expeditions collecting environmental telemetry. We gather temperature, humidity, GPS position, footage and provide a mobile interface for remote control ling the USV. With this pilot study, we provide an initial study of the suitable simplistic GUI for long-range remote sensing in aquatic setting. We discuss the findings and propose future applications and Internet of Water Things as future research direction.
- LoRaquatica: Studying Range and Location Estimation using LoRa and IoT in Aquatic SensingPublication . Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Noronha, Hildegardo; Nunes, Nuno JardimWhile ubiquitous computing remains vastly applied in urban environments, their applications in ocean environment remain scarce due to the limitations in range and cost of current radio technology. This hinders environmental telemetry in the oceans and other remote areas. In this study, we explore the usage of IoT and Long Range Radio Communication (LoRa) in ocean environments. We study the maximum distance for LoRa and a potential location estimation based on the same technology using the passive RSSI analysis. Using three coastal based nodes and a node mounted on a sea vessel, we report a maximum range of 83.6km. We also achieve a location error within a radius of 3.4km (4% of maximum distance) in the sea. These results support marine biologist expeditions, allowing them to use low cost, long-lasting and easy to deploy solutions for tracking marine objects and species in open ocean, providing them data in near real-time. We discuss the findings from used models, outlining limitations, and providing a scenario for future ubiquitous IoT applications for tracking sea objects.