Browse > Article
http://dx.doi.org/10.12673/jant.2015.19.5.417

Study on the Sensor Gateway for Receive the Real-Time Big Data in the IoT Environment  

Shin, Seung-Hyeok (Department of Cyber Security, Gumi University)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.5, 2015 , pp. 417-422 More about this Journal
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.
Keywords
Internet of things; Real-time; Big data; Sensor gateway;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 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.
2 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.
3 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.
4 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.
5 D. Boswarthick, O. Elloumi and O. Hersent, M2M Communications, A Systems Approach, Chichester, United Kingdom:John Willey & Sons Ltd., 2012.
6 F. C. Delicato, P. F. Piers and T. Batista, Middleware Solutions For The Internet Of Things, London, United Kingdom:Springer, 2013.
7 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.   DOI
8 K. Ashton, "Internet of things," RFiD Journal, Vol. 22, No. 7, pp.97-114, Jun, 2009.
9 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.
10 ISO, ISO/IEC 9216, Information Technology - Software Quality Characteristics and Metrics, 1998.
11 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.
12 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.
13 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.
14 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.