IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
권호 표지
DOI QR코드

DOI QR Code

Design and Implementation of CoAP based Cloud-IoT Architecture

CoAP 기반 클라우드 환경 IoT 구조 설계 및 구현

  • Received : 2015.04.16
  • Accepted : 2015.05.30
  • Published : 2015.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In the IoT(Internet of Things) environment, methods that user can access sensor node directly to collect sensing data or manage sensor in a gateway have a limitations. To solve this problem, cloud based sensor network architectures are proposed. In this paper, we proposed CoAP based IoT architecture that a lightweight gateway is used for data gathering instead of using a heavy traditional one and users can request sensing data through IoT applications running in the cloud environment and analyze signaling message cost. By doing so, our system can reduce message cost compared to the traditional gateway based system.

Keywords

References

  1. L.M. Borges, F.J. Velez, A.S. Lebres, "Survey on the Characterization and Classification of Wireless Sensor Network Applications," IEEE Communications Surveys & Tutorials, Vol. 16, No. 4, pp. 1860-1890, 2014. https://doi.org/10.1109/COMST.2014.2320073
  2. G. Simon, M. Maroti, A. Ledeczi, G. Balogh, B. Kusy, A. Nadas, G. Pap, J. Sallai, K. Frampton, "Sensor network-based countersniper system," Proceedings of the Second International Conference on Embedded Networked Sensor Systems, 2004.
  3. J. Yick, B. Mukherjee, D. Ghosal, "Analysis of a Prediction-based Mobility Adaptive Tracking Algorithm," Proceedings of the IEEE Second International Conference on Broadband Networks, 2005.
  4. M. Castillo-Effer, D.H. Quintela, W. Moreno, R. Jordan, W. Westhoff, "Wireless sensor networks for flash-flood alerting," Proceedings of IEEE International Caracas Conference on Devices, Circuits and Systems, Vol. 1, pp. 142-146, 2004.
  5. T. Gao, D. Greenspan, M. Welsh, R.R. Juang, A. Alm, "Vital signs monitoring and patient tracking over a wireless network," Proceedings of the IEEE EMBS Annual International Conference, 2005.
  6. K. Lorincz, D. Malan, T.R.F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, M. Welsh, S. Moulton, "Sensor networks for emergency response: challenges and opportunities," IEEE Pervasive Computing, Vol. 3, No. 4, pp. 16-23, 2004.
  7. G. Wener-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, M. Walsh, "Deploying a wireless sensor network on an active volcano," IEEE Internet Computing, Vol. 10, No. 2, pp. 18-25, 2006. https://doi.org/10.1109/MIC.2006.26
  8. A. Alamri, W.S. Ansari, M.M. Hassan, M.S. Hossain, A. Alelaiwi, M.A. Hossain, "A Survey on Sensor-Cloud: Architecture, Applications, and Approaches," International Journal of Distributed Sensor Networks, Article ID 917923, pp. 1-18, 2013.
  9. S. Madria, V.; Kumar, R. Dalvi, "Sensor Cloud: A Cloud of Virtual Sensors," IEEE Software, Vol. 31, No. 2, pp. 70-77, 2014. https://doi.org/10.1109/MS.2013.141
  10. L. Gao, C. Zhang, L. Sun, "RESTful Web of Things API in Sharing Sensor Data," Proceedings of International Conference on Internet Technology and Applications, pp. 1-4, 2011.
  11. Z. Shelby, K. Hartke,C. Bormann, "The Constrained Application Protocol (CoAP)," Internet-draft, 2014.
  12. A. Castellani, ,S. Loreto, A. Rahman, T. Fossati, E. Dijk, "Guidelines for HTTP-CoAP Mapping Implementations," Internet-draft, 2015.
  13. M.N.O. Sadiku, S.M. Musa, O.D. Momoh, "Cloud Computing: Opportunities and Challenges," IEEE Potentials, Vol. 33, No. 1, pp. 34-36, 2014. https://doi.org/10.1109/MPOT.2013.2279684