Declarative Support for Sensor Data Cleaning

  • Shawn R. Jeffery
  • Gustavo Alonso
  • Michael J. Franklin
  • Wei Hong
  • Jennifer Widom
Conference paper

DOI: 10.1007/11748625_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3968)
Cite this paper as:
Jeffery S.R., Alonso G., Franklin M.J., Hong W., Widom J. (2006) Declarative Support for Sensor Data Cleaning. In: Fishkin K.P., Schiele B., Nixon P., Quigley A. (eds) Pervasive Computing. Pervasive 2006. Lecture Notes in Computer Science, vol 3968. Springer, Berlin, Heidelberg

Abstract

Pervasive applications rely on data captured from the physical world through sensor devices. Data provided by these devices, however, tend to be unreliable. The data must, therefore, be cleaned before an application can make use of them, leading to additional complexity for application development and deployment. Here we present Extensible Sensor stream Processing (ESP), a framework for building sensor data cleaning infrastructures for use in pervasive applications. ESP is designed as a pipeline using declarative cleaning mechanisms based on spatial and temporal characteristics of sensor data. We demonstrate ESP’s effectiveness and ease of use through three real-world scenarios.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shawn R. Jeffery
    • 1
  • Gustavo Alonso
    • 2
  • Michael J. Franklin
    • 1
  • Wei Hong
    • 3
  • Jennifer Widom
    • 4
  1. 1.UC Berkeley 
  2. 2.ETH Zurich 
  3. 3.Arched Rock Corporation 
  4. 4.Stanford University 

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