Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

In-Network Query Processing

  • Samuel Madden
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_195

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 to check access.

Recommended Reading

  1. 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. 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.zbMATHCrossRefGoogle Scholar
  3. 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. 4.
    Crossbow, Inc. Micaz wireless sensor node data sheet. http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICAz_Datasheet.pdf.
  5. 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. 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. 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. 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. 9.
    Madden S. The design and evaluation of a query Processing architecture for sensor networks. PhD thesis, UC Berkeley. 2003.Google Scholar
  10. 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. 11.
    Madden S, Hong W, Hellerstein JM, and Franklin M. TinyDB web page. http://telegraph.cs.berkeley.edu/tinydb.
  12. 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. 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. 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. 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

Copyright information

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

Authors and Affiliations

  1. 1.Massachusetts Institute of TechnologyCambridgeUSA

Section editors and affiliations

  • Le Gruenwald
    • 1
  1. 1.School of Computer ScienceUniv. of OklahomaNormanUSA