Article

A macroscope in the redwoods

Authors:

Joseph Polastre,

Robert Szewczyk,

Stephen Burgess,

Phil Buonadonna,

Wei HongAuthors Info & Claims

SenSys '05: Proceedings of the 3rd international conference on Embedded networked sensor systems

Pages 51 - 63

https://doi.org/10.1145/1098918.1098925

Published: 02 November 2005 Publication 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.

Digital 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.

[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.

[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.

Digital Library

[5]

J. de Rosnay. The Macroscope: a New World Scientific System. Harper & Row, 1979.

[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.

Digital 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.

Digital 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.

Digital 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.

Digital 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.

[11]

K. Martinez, J. K. Hart, and R. Ong. Environmental Sensor Networks. IEEE Computer, 38(8):50--56, August 2004.

Digital 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.

[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.

[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.

[15]

E. Osterweil and D. Estrin. ESS: The Extensible Sensing System. http://www.cens.ucla.edu/~eoster/ess/, Apr. 2004.

[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.

Digital 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.

[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.

Digital Library

Cited By

Hosseini SJalilvand HFallah AAsadi HTafazoli M(2024)Does the Frequency of Fog Affect the Structural Properties of Fagus orientalis in the Hyrcanian Forest?Ecology of Iranian Forests10.61186/ifej.12.2.1512:2(15-25)Online publication date: 1-Oct-2024
https://doi.org/10.61186/ifej.12.2.15
Liu YYang ZLiu YYang Z(2024)IntroductionLocation, Localization, and Localizability10.1007/978-981-97-3176-3_1(1-8)Online publication date: 12-Jul-2024
https://doi.org/10.1007/978-981-97-3176-3_1
Iyer RKalbarczyk ZNakka N(2024)Measurement‐Based Analysis of Large‐Scale ClustersDependable Computing10.1002/9781119743453.ch12(585-665)Online publication date: 26-Apr-2024
https://doi.org/10.1002/9781119743453.ch12
Show More Cited By

Index Terms

A macroscope in the redwoods

Recommendations

An analysis of a large scale habitat monitoring application
SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems

Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during the summer and autumn of 2003. During a 4 month deployment, these ...
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks

We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures,...
A Wireless Sensor Network for Greenhouse Climate Control

Using a wireless sensor network, the authors developed an online microclimate monitoring and control system for greenhouses. They field-tested the system in a greenhouse in Punjab, India, evaluating its measurement capabilities and network performance ...

Comments

Information & Contributors

Information

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

General Chair:
Jason Redi
BBN Technologies, USA
,
Program Chairs:
Hari Balakrishnan
University of Massachusetts, USA
,
Feng Zhao
Microsoft Research, USA

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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2005

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SenSys05

Sponsor:

SenSys05: ACM Conference on Embedded Network Sensor Systems

November 2 - 4, 2005

California, San Diego, USA

Acceptance Rates

Overall Acceptance Rate 174 of 867 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

557
Total Citations
View Citations
2,065
Total Downloads

Downloads (Last 12 months)46
Downloads (Last 6 weeks)8

Reflects downloads up to 09 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Hosseini SJalilvand HFallah AAsadi HTafazoli M(2024)Does the Frequency of Fog Affect the Structural Properties of Fagus orientalis in the Hyrcanian Forest?Ecology of Iranian Forests10.61186/ifej.12.2.1512:2(15-25)Online publication date: 1-Oct-2024
https://doi.org/10.61186/ifej.12.2.15
Liu YYang ZLiu YYang Z(2024)IntroductionLocation, Localization, and Localizability10.1007/978-981-97-3176-3_1(1-8)Online publication date: 12-Jul-2024
https://doi.org/10.1007/978-981-97-3176-3_1
Iyer RKalbarczyk ZNakka N(2024)Measurement‐Based Analysis of Large‐Scale ClustersDependable Computing10.1002/9781119743453.ch12(585-665)Online publication date: 26-Apr-2024
https://doi.org/10.1002/9781119743453.ch12
Choe HLee M(2023)Artificial Intelligence-Based Fault Diagnosis and Prediction for Smart Farm Information and Communication Technology EquipmentAgriculture10.3390/agriculture1311212413:11(2124)Online publication date: 10-Nov-2023
https://doi.org/10.3390/agriculture13112124
Oliveira LEisenkraemer GCarara EMartins JMonteiro J(2023)Mobile Localization Techniques for Wireless Sensor Networks: Survey and RecommendationsACM Transactions on Sensor Networks10.1145/356151219:2(1-39)Online publication date: 5-Apr-2023
https://dl.acm.org/doi/10.1145/3561512
Moore PRao HBeauchene CCowen EYuditskaya SHeldt TBrattain L(2023)Efficient Deep Learning on Wearable Physiological Sensor Data for Pilot Flight Performance Analysis2023 IEEE 19th International Conference on Body Sensor Networks (BSN)10.1109/BSN58485.2023.10331087(1-6)Online publication date: 9-Oct-2023
https://doi.org/10.1109/BSN58485.2023.10331087
Fahmy HFahmy H(2023)Testbeds for WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_7(415-545)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_7
Fahmy HFahmy H(2023)WSNs ApplicationsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_3(67-242)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_3
Mager FBiri AThiele LZimmerling M(2022)BUTLER: Increasing the Availability of Low-Power Wireless Communication ProtocolsProceedings of the 2022 INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS10.5555/3578948.3578958(108-119)Online publication date: 2-Dec-2022
https://dl.acm.org/doi/10.5555/3578948.3578958
Alwan MHammadi YMahmood OMuthanna AKoucheryavy A(2022)High Density Sensor Networks Intrusion Detection System for Anomaly Intruders Using the Slime Mould AlgorithmElectronics10.3390/electronics1120333211:20(3332)Online publication date: 16-Oct-2022
https://doi.org/10.3390/electronics11203332
Show More Cited By

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents