Abstract
Vehicles are becoming smart by their equipments with sensors and actuators. The equipment would report the detected malfunction status or monitored faulty part to the driver, and it should report that to a sort of a traffic control center as the defective car might require a professional support. It is preferable to transmit the collected data after reducing the amount data. In this work, an abbreviation method is proposed to preserve the substitutes of data probably significant. The abbreviation reduces the amount of data to be transmitted and stored, by abbreviating the data into substitutes remained useful to the calculations in detecting malfunction status or monitoring faulty part.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Campbell, J., Gibbons, P.B., Nath, S.: IrisNet: An Internet-Scale Architecture for Multimedia Sensors. In: Annual ACM International Conference on Multimedia, pp. 81–88. ACM, New York (2005)
Deshpande, A., Nath, S., Gibbons, P.B., Seshan, S.: Cache-and-query for wide area sensor databases. In: ACM SIGMOD International Conference, pp. 503–514. ACM, New York (2003)
Sheth, A., Henson, C., Sahoo, S.S.: Semantic Sensor Web. IEEE Inter. Comp. 12(4), 78–83 (2008)
Dickerson, R., Lu, J., Lu, J., Whitehouse, K.: Stream Feeds - An Abstraction for the World Wide Sensor Web. In: The Internet of Things, pp. 360–375. Springer, Heidelberg (2008)
Aberer, K., Hauswirth, M., Salehi, A.: Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks. In: International Conference on Mobile Data Management, pp. 198–205. IEEE, Mannheim (2007)
Jayasumana, A.P., Han, Q.: Virtual Sensor Networks - A Resource Efficient Approach for Concurrent Applications. In: International Conference on Information Technology, pp. 111–115. IEEE CS, Las Vegas (2007)
Ibrahim, K.I., Kronsteiner, R., Kotsis, G.: A Semantic Solution for Data Integration in Mixed Sensor Networks. Comp. Comm. 28, 1564–1574 (2008)
Ok, M.: A Hierarchical Representation for Recording Semantically Condensed Data from Physically Massive Data Out of Sensor Networks Geographically Dispersed. In: The OTM Workshops, pp. 69–76. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ok, M. (2011). An Abbreviate Representation for Semantically Indexing of Physically Massive Data Out of Sensor Networks on the Rove. In: Chiu, D.K.W., et al. Web Information Systems Engineering – WISE 2010 Workshops. WISE 2010. Lecture Notes in Computer Science, vol 6724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24396-7_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-24396-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24395-0
Online ISBN: 978-3-642-24396-7
eBook Packages: Computer ScienceComputer Science (R0)