Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Remote Sensing pp 190–196Cite as

Emerging Technologies, Sensor Web

  • Reference work entry
  • First Online:

  • 214 Accesses

Part of the book series: Encyclopedia of Earth Sciences Series ((EESS))

Synonyms

Environmental sensor network; ESN; Wireless sensor network; WSN

Definition

Sensor webs are networks of sensors that can operate in a coordinated fashion, for example, through centralized or decentralized control centers. The controller can command the sensor nodes to modify their measurement schedule or configuration in response to environmental factors or to achieve certain measurement goals. Sensor webs are envisioned as a means of providing spatially and temporally adaptive in situ measurements for validation of remote sensing observations.

Introduction

Satellite remote sensing often results in data and retrieved geophysical products with resolutions that are significantly coarser than the scale of variations of the phenomena they represent. As an example of a geophysical variable, soil moisture fields retrieved from satellite observations using microwave instruments have resolutions on the order of kilometers if not coarser. However, the soil moisture fields themselves...

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   329.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Bibliography

  • Entekhabi, D., Njoku, E., O’Neill, P., Crow, W., Entin, J., Jackson, T., Johnson, J., Kimball, J., Koster, R., McDonald, K., Moghaddam, M., Moran, S., Reichle, R., Shi, J. C., and Tsang, L., 2010. The soil moisture active and passive (SMAP) mission. Proceedings of the IEEE, 98(5), 704–716 (featured on cover).

    Google Scholar 

  • Menachem, C., and Yamin, H., 2004. High-energy, high-power pulses plus battery for long-term applications. Journal of Power Sources, 136, 268–275.

    Google Scholar 

  • Moghaddam, M., Entekhabi, D., Goykhman, Y., Li, K., Liu, M., Mahajan, A., Nayyar, A., Shuman, D., and Teneketzis, D., 2010. A wireless soil moisture smart sensor web using physics-based optimal control: concept and initial demonstration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(4), 522–535.

    Google Scholar 

  • Shuman, D., Nayyar, A., Mahajan, A., Goykhman, Y., Li, K., Liu, M., Teneketzis, D., Moghaddam, M., and Entekhabi, D., 2010. Measurement scheduling for soil moisture sensing: from physical models to optimal control. Proceedings of the IEEE, 98(11), 1918–1933.

    Google Scholar 

  • Silva, A. R., Liu, M., and Moghaddam, M., 2012a. Power Management Techniques for Wireless Sensor Networks and Similar Low-Power Communication Devices Based on Non-Rechargeable Batteries. Journal of Computer Networks and Communications, 2012 (article ID 757291), 10 pages, doi:10.1155/2012/757291.

    Google Scholar 

  • Silva, A., Liu, M., and Moghaddam, M., 2012b. Ripple-2: A non-collaborative, asynchronous, and open architecture for highly-scalable and low duty-cycle WSNs. In Proceedings ACM International Workshop on Mission-Oriented WSN (MiSeNet’ 12). Istanbul.

    Google Scholar 

  • Weddell, A. S., et al., 2008. Alternative energy sources for sensor nodes: rationalized design for long-term deployment. In Proceedings IEEE International Instrumentation and Measurement Technology Conference (IMTC’ 08). Victoria, British Columbia, pp. 1370–1375.

    Google Scholar 

  • Wu, X., and M. Liu, 2012a. In-Situ Soil Moisture Sensing: Optimal Sensor Placement and Field Estimation. ACM Transactions on Sensor networks, vol. 8, no. 4, pp. 33:1–33:30.

    Google Scholar 

  • Wu, X., and M. Liu, 2012b. In-situ soil moisture sensing: measurement scheduling and estimation using compressive sensing. International Conference on Information Processing in Sensor Networks (IPSN). Beijing.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical Engineering – Electrophysics, University of Southern California, 3737 Watt Way, PHE 634, 0089, Los Angeles, CA, USA

    Mahta Moghaddam & Agnelo Silva

  2. Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, USA

    Mingyan Liu

Authors
  1. Mahta Moghaddam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Agnelo Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mingyan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mahta Moghaddam .

Editor information

Editors and Affiliations

  1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA

    Eni G. Njoku

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Moghaddam, M., Silva, A., Liu, M. (2014). Emerging Technologies, Sensor Web. In: Njoku, E.G. (eds) Encyclopedia of Remote Sensing. Encyclopedia of Earth Sciences Series. Springer, New York, NY. https://doi.org/10.1007/978-0-387-36699-9_206

Download citation

Publish with us

Policies and ethics

Search

Navigation