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Ambient Sound-Based Collaborative Localization of Indeterministic Devices.

Jacob Kamminga1,2, Duc Le3, Paul Havinga4

  • 1Pervasive Systems Group, University of Twente, Enschede 7522 NB, The Netherlands. j.w.kamminga@utwente.nl.

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Summary
This summary is machine-generated.

This study introduces a new algorithm for wireless sensor network localization using only ambient sound on low-cost Android devices. It achieves accurate device and sound source positioning without infrastructure, overcoming device uncertainties.

Keywords:
Androidcollaborative localizationinput latencyopportunistic localizationsmartphonessound localizationwireless sensor networks

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Area of Science:

  • Wireless Sensor Networks
  • Localization Algorithms
  • Acoustic Sensing

Background:

  • Accurate localization is critical in wireless sensor networks.
  • Existing methods often rely on dedicated infrastructure or deterministic devices.
  • Low-cost, indeterministic devices like Android phones present unique localization challenges due to uncertain latencies.

Purpose of the Study:

  • To develop a novel collaborative localization algorithm for low-cost, indeterministic devices using only ambient sound.
  • To simultaneously determine the positions of devices and sound sources without external infrastructure support.
  • To address and mitigate the challenges posed by uncertain input latencies in Android devices.

Main Methods:

  • Developed the Cooperative Localization on Android with ambient Sound Sources (CLASS) algorithm.
  • Employed a subset-splitting strategy to filter outliers from time difference of arrival (TDOA) data.
  • Evaluated the algorithm using an outdoor experiment with standard Android devices.

Main Results:

  • Achieved a mean Root Mean Square Error (RMSE) of 2.18 m for device localization.
  • Reported a standard deviation of 0.22 m for device localization accuracy.
  • Obtained a mean RMSE of 17.5° for sound source direction estimation with a 2.3° standard deviation.

Conclusions:

  • Demonstrated the feasibility of accurate collaborative localization using ambient sound on indeterministic platforms like Android.
  • Showcased the effectiveness of the CLASS algorithm in overcoming device uncertainties for simultaneous device and sound source positioning.
  • Validated the potential for infrastructure-less, low-cost localization solutions in wireless sensor networks.