An Architecture for Query Optimization in Sensor Networks

  • Authors:
  • Ixent Galpin;Christian Y. A. Brenninkmeijer;Farhana Jabeen;Alvaro A. A. Fernandes;Norman W. Paton

  • Affiliations:
  • School of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom. ixent@cs.man.ac.uk;School of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom. brenninkmeijer@cs.man.ac.uk;School of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom. jabeen@cs.man.ac.uk;School of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom. alvaro@cs.man.ac.uk;School of Computer Science, University of Manchester, Manchester M13 9PL, United Kingdom. norm@cs.man.ac.uk

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a novel sensor network query processing architecture that (a) covers all the query optimization phases that are required to map a declarative query to executable code; and (b) does so for a more expressive query language than has heretofore been supported over sensor networks. The architecture is founded on the view that a sensor network truly is a distributed computing infrastructure, albeit a very constrained one. As such, we address the problem of how to develop a comprehensive optimizer for an expressive declarative continuous query language over acquisitional streams as one of finding extensions to a classical distributed query processing architecture that contend with the peculiarities of sensor networks as an environment for distributed computing.