Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Study on the Sensor Gateway for Receive the Real-Time Big Data in the IoT Environment

IoT 환경에서 실시간 빅 데이터 수신을 위한 센서 게이트웨이에 관한 연구

  • 신승혁 (구미대학교 사이버보안과)
  • Received : 2015.07.14
  • Accepted : 2015.10.01
  • Published : 2015.10.30
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Abstract

A service size of the IoT environment is determined by the number of sensors. The number of sensors increase means increases the amount of data generated by the IoT environment. There are studies to reliably operate a network for research and operational dynamic buffer for data when network congestion control congestion in the network environment. There are also studies of the stream data that has been processed in the connectionless network environment. In this study, we propose a sensor gateway for processing big data of the IoT environment. For this, review the RESTful for designing a sensor middleware, and apply the double-buffer algorithm to process the stream data efficiently. Finally, it generates a big data traffic using the MJpeg stream that is based on the HTTP protocol over TCP to evaluate the proposed system, with open source media player VLC using the image received and compare the throughput performance.

IoT 환경의 서비스 규모는 센서의 수량에 의하여 결정된다. 센서의 수량이 증가함은 IoT 환경에서 발생하는 데이터의 양도 증가함을 의미한다. 네트워크 환경에서 데이터 폭주 시 네트워크 혼잡제어를 위한 연구와 동적 버퍼운영으로 네트워크를 안정적으로 운영하기 위한 연구들이 있다. 또한 비연결형 네트워크 환경에서 스트림 데이터 처리에 대한 연구들이 있다. 본 연구에서는 IoT환경의 빅데이터를 처리하기 위한 센서 게이트웨이를 제안한다. 이를 위하여 센서 미들웨어를 설계하기 위한 RESTful 을 확인하고, 스트림 데이터를 효율적으로 처리하기 위한 이중버퍼 알고리즘을 적용한다. 마지막으로 제안하는 시스템을 평가하기 위하여 TCP 상의 HTTP 프로토콜을 기반으로 하는 MJpeg 스트림을 이용하여 빅 데이터 트래픽을 발생 시키며, 오픈소스 미디어 플레이어인 VLC를 이용하여 영상 수신 처리율을 이용하여 성능을 비교한다.

Keywords

References

  1. K. Ashton, "Internet of things," RFiD Journal, Vol. 22, No. 7, pp.97-114, Jun, 2009.
  2. H. J. La and S. D. Kim, "Unconventional issues and solutions in developing IoT applications," Journal of the Korea Information Processing Society Transactions on Computer and Communication Systems, Vol. 3, No. 10, pp.337-350, Mar. 2014.
  3. ISO, ISO/IEC 9216, Information Technology - Software Quality Characteristics and Metrics, 1998.
  4. H. J. La, C. W. Park and S. D. Kim, "A framework for effectively managing dynamism of IoT devices," Journal of Korean Institute of Information Scientists and Engineers: Software and Applications, Vol. 41, No. 8, pp.545-556, Aug,2014.
  5. D. Choi and S. Y. Lee, "An adaptive network double buffer model for efficient memory resource usage," Journal of Korean Institute of Information Scientists and Engineers, Vol. 33, No. 11, pp.810-819, Dec, 2006.
  6. M. K. Min, "A comparative study of the sensor network middleware technologies," Journal of Institute of Industrial Technology, Seokyeong University, Vol. 31, pp.67-77, Dec, 2013.
  7. M. M. Molla and S. I. Ahamed, "A survey of middleware for sensor network and challenges," in International Conference on Parallel Processing Workshop, Columbus: OH, pp.223-228, 2006.
  8. S. Clayman and A. Gails, "INOX; A managed service platform for inter-connected smart objects," in Proceedings of the workshop on Internet of Things and Service Platforms, Tokyo: Japan, Dec, 2011.
  9. S. I. Ahamed, M. Zulkernine and S. Anamanamuri, "A dependable device discovery approach for pervasive computing middleware," in Proceedings of the 1st International Conference on Availability, Reliability and Security, Vienna: Austria, Apr, 2006.
  10. S. M. Kim, J. Y. Lee, H. S. Choi and W. S. Rhee, "RESTful sensor middleware to support heterogeneous sensor," in Proceedings of Korean Institute of Communications and Information Sciences Summer, Jeju: Korea, pp.27-28, Jun, 2014.
  11. S. Y. Joo, H. S. Lim, B. S. Park and D. S. Kang, "An advanced structure of a middleware system for decreasing complexity of an M2M network topology," in Proceedings of Korea Institute of Information Technology Summer Conference, Cheonan: Korea, pp.159-162, May 2014.
  12. D. Boswarthick, O. Elloumi and O. Hersent, M2M Communications, A Systems Approach, Chichester, United Kingdom:John Willey & Sons Ltd., 2012.
  13. F. C. Delicato, P. F. Piers and T. Batista, Middleware Solutions For The Internet Of Things, London, United Kingdom:Springer, 2013.
  14. J. W. Jeong and M. J. Lee, "An energy control model of smart video devices for the internet of things," Journal of Advanced Navigation Technology, Vol. 19, No. 1, pp:66-73, Feb, 2015. https://doi.org/10.12673/jant.2015.19.1.66