Skip to main content

In-Network Query Processing

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 105 Accesses

Synonyms

Tiny aggregation (TAG); TinyDB

Definition

In-Network query processing refers to the complete or partial evaluation of database queries at the edges of a network, rather than in a centralized database server. Though this phrase may also apply to the general process of distributed or parallel query evaluation, it is most commonly applied to environments like sensor networks, where the network edges consist of small, wireless devices with power and CPU constraints. Typically these devices produce the data to be processed via local sensors, so processing in the edges of the network can be beneficial because it can reduce bandwidth usage, which in turn can conserve energy.

Historical Background

Sensor networks are collections of small, inexpensive battery-powered, wirelessly networked devices equipped with sensors (microphones, temperature sensors, etc.) that offer the potential to monitor the world with unprecedented fidelity. To capture data from these networks, researchers have...

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
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

Institutional subscriptions

Recommended Reading

  1. Abadi D, Madden S. Reed: robust, efficient filtering and event detection in sensor networks. In: Proceedings of the 31st International Conference on Very Large Data Bases; 2005. p. 769–80.

    Google Scholar 

  2. Bonfils B, Bonnet P. Adaptive and decentralized operator placement for in-network query processing. In: Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks; 2003. p. 47–62.

    Chapter  MATH  Google Scholar 

  3. Considine J, Li F, Kollios G, Byers J. Approximate aggregation techniques for sensor databases. In: Proceedings of the 20th International Conference on Data Engineering; 2004. p. 449–60.

    Google Scholar 

  4. Crossbow, Inc. Micaz wireless sensor node data sheet. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICAz_Datasheet.pdf.

  5. De Couto DSJ, Aguayo D, Bicket J, Morris R. A high-throughput path metric for multi-hop wireless routing. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking; 2003. p. 134–46.

    Google Scholar 

  6. Elson J, Estrin D. Time synchronization for wireless sensor networks. In: Proceedings of the 15th IEEE International Parallel & Distributed Processing Symposium; 2001. p. 1965–70.

    Google Scholar 

  7. Greenwald MB, Khanna S. Power-conserving computation of order-statistics over sensor networks. In: Proceedings of the 23rd ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 2004. p. 275–85.

    Google Scholar 

  8. Hill J, Szewczyk R, Woo A, Hollar S, Culler D, Pister K. System architecture directions for networked sensors. In: Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems; 2000.p. 93–104.

    Google Scholar 

  9. Madden S. The design and evaluation of a query Processing architecture for sensor networks. PhD thesis, UC Berkeley. 2003.

    Google Scholar 

  10. Madden S, Franklin MJ, Hellerstein JM, Hong W. TAG: a tiny aggregation service for Ad-Hoc sensor networks. In: Proceedings of the 5th USENIX Symposium on Operating System Design and Implementation; 2002.

    Google Scholar 

  11. Madden S, Hong W, Hellerstein JM, and Franklin M. TinyDB web page. http://telegraph.cs.berkeley.edu/tinydb.

  12. Müller R, Alonso G, Kossmann D. SwissQM: next generation data processing in sensor networks. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 1–9.

    Google Scholar 

  13. Nath S and Gibbons PB. Synopsis diffusion for robust aggregation in sensor networks. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems; 2004. p. 250–62.

    Google Scholar 

  14. Woo A, Tong T, Culler D. Taming the underlying challenges of reliable multihop routing in sensor networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems; 2003. p. 14–27.

    Google Scholar 

  15. Yao Y, Gehrke J. Query processing in sensor networks. In: Proceedings of the 1st Biennial Conference on Innovative Data Systems Research; 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Samuel Madden .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Madden, S. (2018). In-Network Query Processing. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_195

Download citation

Publish with us

Policies and ethics