Emuli: model driven sensor stimuli for experimentation

Authors:
Najla Alam;Thomas Clouser;Richie Thomas;Mikhail Nesterenko
Affiliations:
Kent State University, Kent, OH;Kent State University, Kent, OH;Kent State University, Kent, OH;Kent State University, Kent, OH
Venue:
Proceedings of the 6th ACM conference on Embedded network sensor systems
Year:
2008

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Abstract

We describe Emuli - a method of replacing sensor data with a network-wide model of stimuli events. Sensor readings are generated on demand from the modeling data stored at each device. This approach allows for both repeatable and variable experimentation with a network of physical devices for existing and planned sensing modalities. We illustrate the approach with (i) a light sensor and (ii) a hypothetical range sensor used in a tracking application.