Power aware routing for sensor databases

Chiranjeeb Buragohain, Divyakant Agrawal, Subhash Suri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

95 Citations (Scopus)

Abstract

Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensor network databases like TinyDB [1] are the dominant architectures to extract and manage data in such networks. Since sensors have significant power constraints (battery life), and high communication costs, design of energy efficient communication algorithms is of great importance. The data flow in a sensor database is very different from data flow in an ordinary network and poses novel challenges in designing efficient routing algorithms. In this work we explore the problem of energy efficient routing for various different types of database queries and show that in general, this problem is NP-complete. We give a constant factor approximation algorithm for one class of query, and for other queries give heuristic algorithms. We evaluate the efficiency of the proposed algorithms by simulation and demonstrate their near optimal performance for various network sizes.

Original languageEnglish
Title of host publicationProceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies
EditorsK. Makki, E. Knightly
Pages1747-1757
Number of pages11
DOIs
Publication statusPublished - 10 Oct 2005
EventIEEE INFOCOM 2005 - Miami, FL, United States
Duration: 13 Mar 200517 Mar 2005

Publication series

NameProceedings - IEEE INFOCOM
Volume3
ISSN (Print)0743-166X

Other

OtherIEEE INFOCOM 2005
CountryUnited States
CityMiami, FL
Period13/3/0517/3/05

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Keywords

  • Graph theory
  • Mathematical programming/optimization
  • Sensor networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Buragohain, C., Agrawal, D., & Suri, S. (2005). Power aware routing for sensor databases. In K. Makki, & E. Knightly (Eds.), Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies (pp. 1747-1757). (Proceedings - IEEE INFOCOM; Vol. 3). https://doi.org/10.1109/INFCOM.2005.1498455