Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN
Document Type
Article
Publication Date
4-1-2022
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.
Keywords
Marine knowledge system, IoT, Cloud, LoRaWAN, Real-time processing, Batch processing
Divisions
Computer
Funders
None
Publication Title
Personal and Ubiquitous Computing
Volume
26
Issue
2, SI
Publisher Location
236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND