Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN
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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/42490/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.um.eprints.42490 |
---|---|
record_format |
eprints |
spelling |
my.um.eprints.424902023-10-10T06:24:18Z http://eprints.um.edu.my/42490/ Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN Park, Sun Ling, Teck Chaw Cha, ByungRea Kim, JongWon QA75 Electronic computers. Computer science 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. 2022-04 Article PeerReviewed 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 <https://doi.org/10.1007/s00779-020-01400-8>. 10.1007/s00779-020-01400-8 |
institution |
Universiti Malaya |
building |
UM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaya |
content_source |
UM Research Repository |
url_provider |
http://eprints.um.edu.my/ |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Park, Sun Ling, Teck Chaw Cha, ByungRea Kim, JongWon Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
description |
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. |
format |
Article |
author |
Park, Sun Ling, Teck Chaw Cha, ByungRea Kim, JongWon |
author_facet |
Park, Sun Ling, Teck Chaw Cha, ByungRea Kim, JongWon |
author_sort |
Park, Sun |
title |
Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
title_short |
Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
title_full |
Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
title_fullStr |
Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
title_full_unstemmed |
Design of containerized marine knowledge system based on IoT-Cloud and LoRaWAN |
title_sort |
design of containerized marine knowledge system based on iot-cloud and lorawan |
publishDate |
2022 |
url |
http://eprints.um.edu.my/42490/ |
_version_ |
1781704650994483200 |
score |
13.211869 |