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Distance-Based Decision Fusion in a Distributed Wireless Sensor Network

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Abstract

Target classification fusion problem in a distributed, wireless sensor network is investigated. We propose a distance-based decision fusion scheme exploiting the relationship between sensor to target distance, signal to noise ratio and classification rate, which requires less communication while achieving higher region classification rate when compared to conventional majority-vote-based fusion schemes. Several different methods are tested, and very encouraging simulation results using real world experimental data samples are also observed.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, 53706, USA

    Marco Duarte & Yu-Hen Hu

Authors
  1. Marco Duarte
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  2. Yu-Hen Hu
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Duarte, M., Hu, YH. Distance-Based Decision Fusion in a Distributed Wireless Sensor Network. Telecommunication Systems 26, 339–350 (2004). https://doi.org/10.1023/B:TELS.0000029045.03170.e9

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  • DOI: https://doi.org/10.1023/B:TELS.0000029045.03170.e9

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