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An energy conservation method for wireless sensor networks employing a blue noise spatial sampling technique

Published: 26 April 2004 Publication History

Abstract

In this work, we present a method for the selection of a subset of nodes in a wireless sensor network whose application is to reconstruct the image of a (spatially) bandlimited physical value (e.g., temperature). The selection method creates a sampling pattern based on blue noise masking and guarantees a near minimal number of activated sensors for a given signal-to-noise ratio. The selection method is further enhanced to guarantee that the sensor nodes with the least residual energy are the primary candidates for deselection, while enabling a tradeoff between sensor selection optimality and balanced load distribution. Simulation results show the effectiveness of these selection methods in improving signal-to-noise ratio and reducing the necessary number of active sensors compared with simpler selection approaches.

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      cover image ACM Conferences
      IPSN '04: Proceedings of the 3rd international symposium on Information processing in sensor networks
      April 2004
      464 pages
      ISBN:1581138466
      DOI:10.1145/984622
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 26 April 2004

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      Author Tags

      1. blue noise
      2. sensor management
      3. wireless sensor networks

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