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A macroscope in the redwoods
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 3rd international conference on Embedded networked sensor systems table of contents
San Diego, California, USA
SESSION: Deployment experience table of contents
Pages: 51 - 63  
Year of Publication: 2005
ISBN:1-59593-054-X
Authors
Gilman Tolle  University of California, Berkeley, Berkeley, CA
Joseph Polastre  University of California, Berkeley, Berkeley, CA
Robert Szewczyk  University of California, Berkeley, Berkeley, CA
David Culler  University of California, Berkeley, Berkeley, CA
Neil Turner  University of California, Berkeley, Berkeley, CA
Kevin Tu  University of California, Berkeley, Berkeley, CA
Stephen Burgess  University of California, Berkeley, Berkeley, CA
Todd Dawson  University of California, Berkeley, Berkeley, CA
Phil Buonadonna  Intel Research Berkeley, Berkeley, CA
David Gay  Intel Research Berkeley, Berkeley, CA
Wei Hong  Intel Research Berkeley, Berkeley, CA
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 24,   Downloads (12 Months): 127,   Citation Count: 67
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ABSTRACT

The wireless sensor network "macroscope" offers the potential to advance science by enabling dense temporal and spatial monitoring of large physical volumes. This paper presents a case study of a wireless sensor network that recorded 44 days in the life of a 70-meter tall redwood tree, at a density of every 5 minutes in time and every 2 meters in space. Each node measured air temperature, relative humidity, and photosynthetically active solar radiation. The network captured a detailed picture of the complex spatial variation and temporal dynamics of the microclimate surrounding a coastal redwood tree. This paper describes the deployed network and then employs a multi-dimensional analysis methodology to reveal trends and gradients in this large and previously-unobtainable dataset. An analysis of system performance data is then performed, suggesting lessons for future 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, D. Gay, J. M. Hellerstein, W. Hong, and S. Madden. TASK: Sensor Network in a Box. In Proceedings of the Second IEEE European Workshop on Wireless Sensor Networks and Applications, 2005.
 
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U. Niinemets, O. Kull, and J. Tenhunen. Within-canopy variation in the rate of development of photosynthetic capacity is proportional to integrated quantum flux density in temperate deciduous trees. Plant, Cell and Environment, 27:293--313, 2004.
 
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E. Osterweil and D. Estrin. Tiny Diffusion in the Extensible Sensing System at the James Reserve. http://www.cens.ucla.edu/~eoster/tinydiff/, May 2003.
 
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CITED BY  67

Collaborative Colleagues:
Gilman Tolle: colleagues
Joseph Polastre: colleagues
Robert Szewczyk: colleagues
David Culler: colleagues
Neil Turner: colleagues
Kevin Tu: colleagues
Stephen Burgess: colleagues
Todd Dawson: colleagues
Phil Buonadonna: colleagues
David Gay: colleagues
Wei Hong: colleagues