Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Efficient and Extensible Data Processing Framework in Ubiquitious Sensor Networks

Authors: Junghoon Lee, Gyung-Leen Park, Ho-Young Kwak, Cheol Min Kim

Abstract:

This paper presents the design and implements the prototype of an intelligent data processing framework in ubiquitous sensor networks. Much focus is put on how to handle the sensor data stream as well as the interoperability between the low-level sensor data and application clients. Our framework first addresses systematic middleware which mitigates the interaction between the application layer and low-level sensors, for the sake of analyzing a great volume of sensor data by filtering and integrating to create value-added context information. Then, an agent-based architecture is proposed for real-time data distribution to efficiently forward a specific event to the appropriate application registered in the directory service via the open interface. The prototype implementation demonstrates that our framework can host a sophisticated application on the ubiquitous sensor network and it can autonomously evolve to new middleware, taking advantages of promising technologies such as software agents, XML, cloud computing, and the like.

Keywords: sensor network, intelligent farm, middleware, event detection

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334113

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1014

References:


[1] L. Golab, M. Oszu, "Issues in data stream management," ACM SIGMOD Record, Vol. 32, Issue 2, 2003, pp. 5-14.
[2] U. Sricastava, J. Widom, "Flexible time management in data stream systems," ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2004, pp. 263-274.
[3] S. Madden, M. Franklin, J. Hellerstein, W. Hong, "The design of an acquisitional query processor for sensor networks." ACM SINGMOD 2003.
[4] S. Madden and M. J. Franklin, "Fjording the stream: An architecture for queries over streaming sensor data," Proc. of the 2002 Intl. Conf on Data Engineering, 2002.
[5] ht43.11www.tinyos.net
[6] J. Lee, H. Song, A. K. Mok, "Design of a reliable communication system for grid-style traffic control networks," The 16th IEEE Real-Time and Embedded Technology and Applications Symposium, 2010, pp. 133-142,
[7] T. Ghanem, A. Elmagarmid, P. Larson, W. Aref, "Supporting views in data stream management systems," ACM Transactions on Database Systems, Vol. 35, No. 1, 2010.
[8] J. Ulrych, "Processing XML data streams: A survey," WDS Proc. Con-tributed Papers, 2008, pp.218-223.
[9] R. Hariharan and K. Toyama, "Project Lachesis: Parsing and modeling location histories", Lecture Notes in Computer Science, Springer Verlag, Vol. 3234, 2004, pp.106-124.
[10] J. Lee, G. Park, C. Sung, H. Choi, "A Cooperative Position Fix Scheme Based on a Group Management on the Vehicular Network," Journal of Information Science and Engineering, Vol. 26, No. 1, 2010, pp. 15-26.
[11] J. Lee, J. Hong, "Design and implementation of a spatial data processing engine for the telematics network," Applied Computing and Computa┬Čtional Science, 2008, pp.39-43.
[12] C. Lee, A. K. Mok, P. Konana, "Monitoring of Timing Constraints with Confidence Threshold Requirements," IEEE Trans. Computers, Vol. 65, No. 7, 2007, pp. 977-991.
[13] H. Woo and A. K. Mok, "Real-time monitoring of uncertain data streams using probabilistic similarity," Proc. of IEEE Real-Time Systems Symposium, 2007, pp. 288-300.