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Trio: enabling sustainable and scalable outdoor wireless sensor network deployments
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Source Information Processing In Sensor Networks archive
Proceedings of the 5th international conference on Information processing in sensor networks table of contents
Nashville, Tennessee, USA
SESSION: SPOTS'06 session 2--sensor network testbeds table of contents
Pages: 407 - 415  
Year of Publication: 2006
ISBN:1-59593-334-4
Authors
Prabal Dutta  UC Berkeley, Berkeley, California
Jonathan Hui  UC Berkeley, Berkeley, California and Arched Rock Corporation, Berkeley, California
Jaein Jeong  UC Berkeley, Berkeley, California
Sukun Kim  UC Berkeley, Berkeley, California
Cory Sharp  Moteiv Corporation, Berkeley, California
Jay Taneja  UC Berkeley, Berkeley, California
Gilman Tolle  UC Berkeley, Berkeley, California and Arched Rock Corporation, Berkeley, California
Kamin Whitehouse  UC Berkeley, Berkeley, California
David Culler  UC Berkeley, Berkeley, California and Arched Rock Corporation, Berkeley, California
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present the philosophy, design, and initial evaluation of the Trio Testbed, a new outdoor sensor network deployment that consists of 557 solar-powered motes, seven gateway nodes, and a root server. The testbed covers an area of approximately 50,000 square meters and was in continuous operation during the last four months of 2005. This new testbed in one of the largest solar-powered outdoor sensor networks ever constructed and it offers a unique platform on which both systems and application software can be tested safely at scale. The testbed is based on Trio, a new mote platform that provides sustainable operation, enables efficient in situ interaction, and supports fail-safe programming. The motivation behind this testbed was to evaluate robust multi-target tracking algorithms at scale. However, using the testbed has stressed the system software, networking protocols, and management tools in ways that have exposed subtle but serious weaknesses that were never discovered using indoor testbeds or smaller deployments. We have been iteratively improving our support software, with the eventual aim of creating a stable hardware-software platform for sustainable, scalable, and flexible testbed deployments.


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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P. Buonadonna, B. Chun, A. AuYoung, C. Ng, D. Parkes, J. Shneidman, A. C. Snoeren, and A. Vahdat. Mirage: A microeconomic resource allocation system for sensornet testbeds. IEEE EmNetS-II, 2005.
 
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P. Chen, S. Oh, M. Manzo, B. Sinopoli, C. Sharp, K. Whitehouse, G. Tolle, J. Jeong, P. Dutta, J. Hui, S. Shaffert, S. Kim, J. Taneja, B. Zhu, T. Roosta, M. Howard, D. Culler, , and S. Sastry. Experiments in instrumenting wireless sensor networks for real-time surveillance. In International Conference on Robotics and Automation (video), 2006.
 
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CITED BY  9
 
 

Collaborative Colleagues:
Prabal Dutta: colleagues
Jonathan Hui: colleagues
Jaein Jeong: colleagues
Sukun Kim: colleagues
Cory Sharp: colleagues
Jay Taneja: colleagues
Gilman Tolle: colleagues
Kamin Whitehouse: colleagues
David Culler: colleagues