skip to main content
10.1145/1098918.1098925acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
Article

A macroscope in the redwoods

Authors Info & Claims
Published:02 November 2005Publication History

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

  1. M. A. Batalin, M. Rahimi, Y. Yu, D. Liu, A. Kansal, G. S. Sukhatme, W. J. Kaiser, M. Hansen, G. J. Pottie, M. Srivastava, and D. Estrin. Call and Response: Experiments in Sampling the Environment. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 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.Google ScholarGoogle ScholarCross RefCross Ref
  3. R. Cardell-Oliver, K. Smettem, M. Kranz, and K. Mayer. Field Testing a Wireless Sensor Network for Reactive Environmental Monitoring. In Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  4. A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton, and J. Zhao. Habitat Monitoring: Application Driver for Wireless Communications Technology. In Proceedings of the First ACM SIGCOMM Workshop on Data Communications in Latin America and the Caribbean, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. de Rosnay. The Macroscope: a New World Scientific System. Harper & Row, 1979.Google ScholarGoogle Scholar
  6. D. Ganesan, B. Greenstein, D. Perelyubskiy, D. Estrin, and J. Heidemann. An Evaluation of Multi-Resolution Storage for Sensor Networks. In Proceedings of the First ACM Conference on Embedded Networked Sensor Systems, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, and K. Pister. System Architecture Directions for Networked Sensors. In Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-IX), pages 93--104, Cambridge, MA, USA, Nov. 2000. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. R. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. The Design of an Acquisitional Query Processor for Sensor Networks. In SIGMOD, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless Sensor Networks for Habitat Monitoring. In Proceedings of the First ACM International Workshop on Wireless Sensor Networks and Applications, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. J. Mariscal, S. N. Martens, S. L. Ustin, J. Chen, S. B. Weiss, and D. A. Roberts. Light-transmission Profiles in an Old-growth Forest Canopy: Simulations of Photosynthetically-Active Radiation by Using Spatially Explicitly Radiative Transfer Models. Ecosystems, 7:454--467, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  11. K. Martinez, J. K. Hart, and R. Ong. Environmental Sensor Networks. IEEE Computer, 38(8):50--56, August 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. P. C. Miller. Bioclimate, Leaf Temperature, and Primary Production in Red Mangrove Canopies in South Florida. Ecology, 53(1):22--45, Jan 1972.Google ScholarGoogle ScholarCross RefCross Ref
  13. 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.Google ScholarGoogle ScholarCross RefCross Ref
  14. 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.Google ScholarGoogle Scholar
  15. E. Osterweil and D. Estrin. ESS: The Extensible Sensing System. http://www.cens.ucla.edu/~eoster/ess/, Apr. 2004.Google ScholarGoogle Scholar
  16. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. An Analysis of a Large Scale Habitat Monitoring Application. In Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. R. Szewczyk, J. Polastre, A. M. Mainwaring, and D. E. Culler. Lessons from a Sensor Network Expedition. In Proceedings of the First IEEE European Workshop on Wireless Sensor Networks and Applications, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  18. A. Woo, T. Tong, and D. Culler. Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks. In Proceedings of the First ACM Conference on Embedded Networked Sensor Systems, pages 14--27, Los Angeles, CA, USA, Nov. 2003. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A macroscope in the redwoods

                Recommendations

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in
                • Published in

                  cover image ACM Conferences
                  SenSys '05: Proceedings of the 3rd international conference on Embedded networked sensor systems
                  November 2005
                  340 pages
                  ISBN:159593054X
                  DOI:10.1145/1098918

                  Copyright © 2005 ACM

                  Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                  Publisher

                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 2 November 2005

                  Permissions

                  Request permissions about this article.

                  Request Permissions

                  Check for updates

                  Qualifiers

                  • Article

                  Acceptance Rates

                  Overall Acceptance Rate174of867submissions,20%

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader