| Locating zigbee® nodes using the ti®s cc2431 location engine: a testbed platform and new solutions for positioning estimation of wsns in dynamic indoor environments |
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International Conference on Mobile Computing and Networking
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Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
table of contents
San Francisco, California, USA
SESSION: Radio/RSSI based methods
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Pages 37-42
Year of Publication: 2008
ISBN:978-1-60558-189-7
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Authors
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Stefano Tennina
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University of L'Aquila, L'Aquila, Italy
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Marco Di Renzo
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CTTC, Telecommunications Technological Center of Catalonia, Castelldefels, Barcelona, Spain
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Fabio Graziosi
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University of L'Aquila, L'Aquila, Italy
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Fortunato Santucci
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University of L'Aquila, L'Aquila, Italy
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ABSTRACT
In this paper, we analyze and describe the achievable performance of a Wireless Sensor Network (WSN) testbed platform, which has been deployed at the Center of Excellence DEWS (University of L'Aquila, Italy) for positioning applications, and which is implemented using CC2431 sensor nodes developed by Texas Instruments® (TI)/Chipcon. In particular, we will report on an extensive campaign of measurements aiming at analyzing the performance of the CC2431's hardware location-finder engine when localization needs to be performed in a realistic and dynamic indoor propagation environment. Experimental results will show that the need of site-specific parameters for the correct operation of the location engine may severely reduce the localization accuracy of the system in dynamic environments. A simple solution to counteract this problem will also be introduced, and the related improvement will be quantified via experiments.
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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S. Tennina and M. Di Renzo. ESD: a novel optimization algorithm for positioning estimation in WSNs -- Analysis and experimental validation via a testbed platform. In IEEE International Workshop on Sensor Networks, St. Thomas U. S. Virgin Islands, August 2008. (accepted, to appear).
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