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Fault-Tolerant Target Localization in Sensor Networks

Abstract

Fault-tolerant target detection and localization is a challenging task in collaborative sensor networks. This paper introduces our exploratory work toward identifying the targets in sensor networks with faulty sensors. We explore both spatial and temporal dimensions for data aggregation to decrease the false alarm rate and improve the target position accuracy. To filter out extreme measurements, the median of all readings in a close neighborhood of a sensor is used to approximate its local observation to the targets. The sensor whose observation is a local maxima computes a position estimate at each epoch. Results from multiple epoches are combined together to further decrease the false alarm rate and improve the target localization accuracy. Our algorithms have low computation and communication overheads. Simulation study demonstrates the validity and efficiency of our design.

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Correspondence to Min Ding.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ding, M., Liu, F., Thaeler, A. et al. Fault-Tolerant Target Localization in Sensor Networks. J Wireless Com Network 2007, 096742 (2007). https://doi.org/10.1155/2007/96742

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Keywords

  • Sensor Network
  • Target Localization
  • False Alarm Rate
  • Target Position
  • Target Detection