Park, Sun and Ling, Teck Chaw and Cha, ByungRea and Kim, JongWon (2022) Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN. Personal and Ubiquitous Computing, 26 (2, SI). pp. 269-281. ISSN 1617-4909, DOI https://doi.org/10.1007/s00779-020-01400-8.
Full text not available from this repository.Abstract
Recently, the research of marine knowledge and information technology has grown rapidly by the increasing interest in the rich repository of natural resources in the sea. For marine knowledge services, accurate marine environmental data must be continuously collected to deeply understand and analyze the marine circumstances. However, there is an insufficiency of research on the observation of marine circumstances in South Korea for the marine knowledge services. The ocean data buoy, a marine environmental monitoring equipment currently operating in South Korea, is large in size and high in production cost because it consumes a lot of power for communication. Aso, it provides only marine data and lacks information on marine knowledge. In this paper, we have proposed containerized marine knowledge system by means of IoT-Cloud and LoRaWAN to improve the marine environment monitoring. The proposed system enables flexible construction of the system and can analyze the marine knowledge through visualizing the gathered data and the knowledge processing with respect to the prediction of red tide events. LoRaWAN-based IoT devices are able to collect long-range marine environmental data in an energy efficient manner. Our proposed method is helpful for researching low-cost marine monitoring buoy and flexible marine knowledge system.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Marine knowledge system; IoT; Cloud; LoRaWAN; Real-time processing; Batch processing |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 10 Oct 2023 06:24 |
| Last Modified: | 10 Oct 2023 06:24 |
| URI: | http://eprints.um.edu.my/id/eprint/42490 |
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