Beyond Average: Toward Sophisticated Sensing with Queries

  • Joseph M. Hellerstein
  • Wei Hong
  • Samuel Madden
  • Kyle Stanek
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2634)

Abstract

High-level query languages are an attractive interface for sensor networks, potentially relieving application programmers from the burdens of distributed, embedded programming. In research to date, however, the proposed applications of such interfaces have been limited to simple data collection and aggregation schemes. In this paper, we present initial results that extend the TinyDB sensornet query engine to support more sophisticated data analyses, focusing on three applications: topographic mapping, wavelet-based compression, and vehicle tracking. We use these examples to motivate the feasibility of implementing sophisticated sensing applications in a query-based system, and present some initial results and research questions raised by this agenda.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Sensor Reading Haar Wavelet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Joseph M. Hellerstein
    • 1
    • 2
  • Wei Hong
    • 2
  • Samuel Madden
    • 1
  • Kyle Stanek
    • 1
  1. 1.UC BerkeleyBerkeley
  2. 2.Intel ResearchBerkeley

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