Abstract

The decreasing cost of sensors and sensor networks has led to the wide scale adoption of this technology by large numbers of scientists for the collection of data in the field. At the same time, advances in both hardware and software have resulted in increased processing power at the sensor, enabling sensors in the field to do more than just data collection. With an increase in the number of sensors and deployments, scientists need tools for the configuration, operation, and debugging problems on their sensor networks. Furthermore, as the amount of data increases, scientists need a way to quickly and easily tag, process, archive, and share their datasets. Without proper tools, it is common for data processing to happen weeks or sometimes months after it is collected. This leads to important events being missed and makes real-time data analysis impossible. Additionally, because data is often manually processed …

Date

January 1, 1970

Authors

G Mehta, F Silva, EA Graham, K Vahi, E Deelman, P Rundel

Journal

AGU Fall Meeting Abstracts

Volume

2011

Pages

IN33B-1460