Korean Journal of Computational Design and Engineering (한국CDE학회논문집)

Society for Computational Design and Engineering (한국CDE학회)
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Implementation of a Vessel USN for Safety Monitoring System Based on ZigBee

선박 및 해양구조물의 안전 모니터링 정보 획득을 위한 ZigBee Sensor node 적용에 관한 연구

  • Kim, Dae-Seok (Department of Naval Architecture & Ocean Engineering, Inha University) ;
  • Lee, Kyung-Ho (Department of Naval Architecture & Ocean Engineering, Inha University) ;
  • Lee, Jung-Min (Department of Naval Architecture & Ocean Engineering, Inha University)
  • 김대석 (인하대학교 조선해양공학과) ;
  • 이경호 (인하대학교 조선해양공학과) ;
  • 이정민 (인하대학교 조선해양공학과)
  • Received : 2013.08.07
  • Accepted : 2014.03.01
  • Published : 2014.06.01
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Abstract

Recently ships and ocean platforms are becoming increasingly technological, unmanned, and huge. Maintenance and safety monitoring of these products is very important for safety reasons. Therefore, real-time monitoring of safety regions, such as the engine room, and hull structure, and environmental states, like fire and pressure of LNG tanks, is required for the sustainable ships. In this paper, a ZigBee-based wireless sensor network is suggested to monitor ships and ocean platforms effectively. However, this causes some telecommunication problems because these products are made of steel. To resolve this problem, we use the mesh networking of Zig-Bee that can monitor the regions and environmental states consistently. The telecommunication of such a monitoring system is tested on a real container ship and its performance is verified. The real-time monitoring results are displayed on the users' smart devices.

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References

  1. Casey, P.R., Tepe, K.E. and Kar, N., 2010, Design and Implementation of a Testbed for IEEE 802.15.4 (ZigBee) Performance Measurements, EURASIP Journal on Wireless Communications & Networking, pp.1-11.
  2. Joo, J., Yim, J. and Lee, C.-K., 2009, Protecting Cultural Heritage Tourism Sites with the Ubiquitous Sensor Network, Journal of Sustainable Tourism 17(3), pp.397-406. https://doi.org/10.1080/09669580802582498
  3. Deng, H., Zhang, B. and Zheng, J., 2011, Rate-constrained Uniform Data Collection in Wireless Sensor Networks, IET Communications 5(10), pp.1343-1350. https://doi.org/10.1049/iet-com.2010.0100
  4. Anonymous 2010, Development of the Gas Safety Management System using an Intelligent Gasmeter with Wireless ZigBee Network, World Academy of Science, Engineering & Technology 64, pp.186-188.
  5. Kohvakka, M., Suhonen, J., Kuorilehto, M., Hannikainen, M. and Hamalainen, D., 2008, Network Signaling Channel for Improving ZigBee Performance in Dynamic Cluster-Tree Networks, EURASIP Journal on Wireless Communications & Networking, pp.1-15.
  6. Bhatnagar, R., Srivastava, A.K. and Sharma, A., 2010, An Implementation Approach for Intrusion Detection System in Wireless Sensor Network, International Journal on Computer Science & Engineering, pp.2453-2456.
  7. Keshtgary, M., Javidan, R. and Mohammadi, R., 2012, Comparative Performance Evaluation of MAC Layer Protocols for Underwater Wireless Sensor Networks, Modern Applied Science, 6(3), pp.65-72.
  8. Bai, X., Li, S. and Xu, J., 2010, Mobile Sensor Deployment Optimization for k-Coverage in Wireless Sensor Networks with a Limited Mobility Model, IETE Technical Review 27(2), pp. 124-137. https://doi.org/10.4103/0256-4602.60166
  9. Egan, D., 2005, The Emergence of in ZigBee in Building Automation and Industrial Controls, Computing & Control Engineering 16(2), pp.14-19.