SPASS: scalable and energy-efficient data acquisition in sensor databases

  • Authors:
  • M. H. Ali;Walid G. Aref;Cristina Nita-Rotaru

  • Affiliations:
  • Purdue University;Purdue University;Purdue University

  • Venue:
  • Proceedings of the 4th ACM international workshop on Data engineering for wireless and mobile access
  • Year:
  • 2005

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Abstract

Scalability and energy management issues are crucial for sensor network databases. In this paper, we introduce the Sharing and PArtitioning of Stream Spectrum (SPASS) protocol as a new approach to provide scalability with respect to the number of sensors and to manage the power consumption efficiently. The spectrum of a sensor is the range/distribution of values read by that sensor. Close-by sensors tend to give similar readings and, consequently, exhibit similar spectra. We propose to combine similar spectra into one global spectrum that is shared by all contributing sensors. Then, the global spectrum is partitioned among the sensors such that each sensor carries out the responsibility of managing a partition of the spectrum. Spectrum sharing and partitioning require continuous coordination to balance the load over the sensors. Experimental results show that the SPASS protocol relieves a sensor database system from the burden of data acquisition in large-scale sensor networks and reduces the per-sensor power consumption.