Abstract
Potential for large scale data monitoring through sensor networks has been realized where factors of interest are compared for extended durations over different geographical locations. Further reducing volumes of the relations is required when the data are harvested from sensor networks distributed in a region or a nation, and a central management of the data is appropriate for the regional or national coverage. Condensed data are congregated in a regional server, for the remote user collects data from an event observed by several source nodes out of a locality or a closed boundary. For the empirical case we conducted a practice with an implemented system in a subway station.
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Ok, Mh., Park, Ds. (2010). A Central Management for Reducing Volumes of Data Harvested from Distributed Sensor Networks. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14306-9_15
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DOI: https://doi.org/10.1007/978-3-642-14306-9_15
Publisher Name: Springer, Berlin, Heidelberg
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