DOI QR코드

DOI QR Code

Sensor Network System for Littoral Sea Cage Culture Monitoring

연근해 가두리 양식장 모니터링을 위한 센서네트워크 시스템

  • 신동현 (강릉원주대학교 컴퓨터공학과) ;
  • 김창화 (강릉원주대학교 컴퓨터공학과)
  • Received : 2016.08.09
  • Accepted : 2016.08.29
  • Published : 2016.09.30

Abstract

Sensor networks have been used in many applications such as smart home, smart factory, etc. based on sensor data. Sensor networks can change system requirements and architectures depending on their application areas. Currently, sensor network application cases in ocean environments are very rare because the ocean environments have much difficult accessibility more poor conditions, higher wave heights, more frogs, much heavier salinity, etc., compared with ground environments. In this paper, we propose the requirements, architecture and design of a sensor network system for the littoral sea cage culture monitoring and we also introduce its operation results through the development. The developed system based on our research provides users with functionalities to extract, monitor, and manage underwater environmental conditions suitable to littoral sea cage culturing of fishes.

센서네트워크는 스마트홈, 스마트 팩토리 등 다양한 분야에서 센서 데이터 기반으로 활용되고 있다. 이러한 센서네트워크는 그 활용 분야에 따라 시스템 아키텍처, 요구사항, 설계 등이 달라지게 된다. 현재 해양 환경은 지상 환경에 비해 접근하기가 굉장히 어렵고 높은 파고, 안개, 염분 등의 열악한 조건을 가지고 있어 센서네트워크의 응용분야가 굉장히 적은 단점이 있다. 따라서 본 논문에서는 연근해 가두리 양식장 모니터링을 위한 센서네트워크 시스템의 요구사항 분석과 아키텍처를 제안하고 이를 기반으로 연근해 가두리 양식장 모니터링을 위한 시스템을 설계한다. 또한 본 논문에서 설계한 시스템에 대해 실제 개발을 통해 운용하면서 얻은 결과를 제시한다. 본 연구를 기반으로 개발한 시스템은 연근해 가두리 양식을 위해 수집한 수중 데이터를 중심으로 양식에 필요한 각종 연관성 분석을 통해 가두리 양식에 적합한 수중 환경조건을 도출하고, 모니터링 및 관리할 수 있는 기능을 제공한다.

Keywords

References

  1. Heungwoo Nam et al., "Remote Monitoring System based on Ocean Sensor Networks for Offshore Aquaculture," Oceans-St, John's, pp.14-19, 2014.
  2. Robert Herlien et al., "An Ocean Observatory Sensor Network Application," Sensors, pp.1837-1842, 2010.
  3. S. J. Park et al., "Underwater Communications and Underwater Sensor Network Technology," Communications of the Korean Institute of Information Scientists and Engineers, Vol.29, No.7, pp.79-88, 2010.
  4. D. H. Shin and C. H. Kim, "Data Compression Method for Reducing Sensor Data Loss and Error in Wireless Sensor Networks," Jornal of Korea Multimedia Society, Vol.19, No.2, pp.360-374, 2016. https://doi.org/10.9717/kmms.2016.19.2.360
  5. Mou Wu et al., "Data Prediction, Compression, and Recovery in Clustered Wireless Sensor Networks for Environmental Monitoring Applications," Information Sciences, Vol.329, pp.800-818, 2016. https://doi.org/10.1016/j.ins.2015.10.004
  6. D. H. Shin and C. H. Kim, "A 2MC-based Framework for Sensor Data Loss Decrease in Wireless Sensor Network Failures," Journal of the Korea Society for Simulation, Vol.25, No.2, pp.31-40, 2016. https://doi.org/10.9709/JKSS.2016.25.2.031
  7. D. H. Shin and C. H. Kim, "Considerations for On-the-spot Application of Ocean Sensor Network Technologies," The 2015 Fall Conference of the KIPS, pp.351-354, 2015.
  8. Jianchao Zheng et al., "Game-Theoretic Multi-Channel Multi-Access in Energy Harvesting Wireless Sensor Network," IEEE Sensors Journal, Vol.16, No.11, pp.2587-4594, 2016.
  9. Douglas S. Kridi et al., "Application of Wireless Sensor Networks for Beehive Monitoring and In-hive thermal Patterns Detection," Computers and Electronics in Agriculture, Vol.127, pp.221-235, 2016. https://doi.org/10.1016/j.compag.2016.05.013
  10. Yang Wang et al., "Evaluation on Energy Performance in a Low-energy Building using New Energy Conservation index based on Monitoring Measurement System with Sensor Network," Energy and Buildings, Vol.123, pp.79-91, 2016. https://doi.org/10.1016/j.enbuild.2016.04.056
  11. C. H. Kim et al., "Technology Development for USN-based Energy Management, Marine Sensors, Sensor Nodes and Middleware for Efficiencies and Enhancement of Marine Industry," Final Report, Ministry of Science, ICT and Future Planning, 2015.