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.
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- 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 ScholarCross Ref
- 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 ScholarDigital Library
- J. de Rosnay. The Macroscope: a New World Scientific System. Harper & Row, 1979.Google Scholar
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- K. Martinez, J. K. Hart, and R. Ong. Environmental Sensor Networks. IEEE Computer, 38(8):50--56, August 2004. Google ScholarDigital Library
- P. C. Miller. Bioclimate, Leaf Temperature, and Primary Production in Red Mangrove Canopies in South Florida. Ecology, 53(1):22--45, Jan 1972.Google ScholarCross Ref
- 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 ScholarCross Ref
- 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 Scholar
- E. Osterweil and D. Estrin. ESS: The Extensible Sensing System. http://www.cens.ucla.edu/~eoster/ess/, Apr. 2004.Google Scholar
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- 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 ScholarDigital Library
Index Terms
- A macroscope in the redwoods
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