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Lightweight filter architecture for energy efficient mobile vehicle localization based on a distributed acoustic

Keonwook Kim1

  • 1Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 100-715, Korea. kwkim@dongguk.edu

Sensors (Basel, Switzerland)
|August 28, 2013
PubMed
Summary

This study introduces a novel proximity velocity vector estimator (PVVE) for wireless sensor networks (WSN) to improve vehicle localization. The PVVE efficiently captures moving vehicle signals while reducing power and communication needs for stationary targets.

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Area of Science:

  • Acoustic signal processing
  • Wireless sensor networks (WSN)
  • Vehicle localization

Background:

  • Acoustic signals in WSNs aid localization but stationary targets waste bandwidth and power.
  • Existing methods lack efficiency in distinguishing moving from stationary targets.

Purpose of the Study:

  • To propose a novel proximity velocity vector estimator (PVVE) node architecture for efficient vehicle localization in WSNs.
  • To develop a system that captures energy from moving vehicles and rejects signals from stationary ones.
  • To reduce communication requirements and extend operational time in WSNs.

Main Methods:

  • A PVVE node architecture combining an analog envelope detector and a digital exponential smoothing filter.
  • Analytical and mathematical methods to determine optimal exponential smoothing filter parameters for maximum velocity variation.

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  • Simulations based on acoustic field parameters to evaluate system performance.

    • Main Results:

    • The PVVE system effectively captures energy from moving vehicles.
    • The system significantly reduces communication requirements for stationary targets.
    • Low analog circuit and digital computation complexity were achieved.

    Conclusions:

    • The proposed PVVE architecture offers an efficient solution for vehicle localization in WSNs.
    • The system conserves bandwidth and power by filtering stationary targets.
    • The PVVE is expected to considerably extend the operational time of WSNs.