Efficient spatio-temporal sensor data loading for a sensor web browser

Authors:
Chih-Yuan Huang;Rohana Rezel;Steve Liang
Affiliations:
Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada;Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada;Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada
Venue:
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Year:
2011

Citing 2
Cited 0

COLR-Tree: Communication-Efficient Spatio-Temporal Indexing for a Sensor Data Web Portal

ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A distributed geospatial infrastructure for Sensor Web

Computers & Geosciences

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Abstract

We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. By applying LOST-Tree, redundant transmissions are avoided and consequently enables efficient loading with cached sensor data.