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Emuli: model driven sensor stimuli for experimentation
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Conference On Embedded Networked Sensor Systems archive
Proceedings of the 6th ACM conference on Embedded network sensor systems table of contents
Raleigh, NC, USA
POSTER SESSION: Posters table of contents
Pages 423-424  
Year of Publication: 2008
ISBN:978-1-59593-990-6
Authors
Najla Alam  Kent State University, Kent, OH
Thomas Clouser  Kent State University, Kent, OH
Richie Thomas  Kent State University, Kent, OH
Mikhail Nesterenko  Kent State University, Kent, OH
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGOPS: ACM Special Interest Group on Operating Systems
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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D. Jia, B. Krogh, and C. Wong. TOSHILT: Middleware for hardware-in-the-loop testing of wireless sensor networks, 2005.
 
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L. Luo, T. He, G. Zhou, L. Gu, T. F. Abdelzaher, and J. A. Stankovic. Achieving repeatability of asynchronous events in wireless sensor networks with envirolog. In INFOCOM. IEEE, 2006.
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Collaborative Colleagues:
Najla Alam: colleagues
Thomas Clouser: colleagues
Richie Thomas: colleagues
Mikhail Nesterenko: colleagues