Audio-Based Self-Localization for Ubiquitous Sensor Networks

Bove Jr. VM, Dalton B. Audio-Based Self-Localization for Ubiquitous Sensor Networks. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6345. Available from: https://aes.org/publications/elibrary-page/?id=13061

@inproceedings{BoveJr2005_13061,
  author = {Bove Jr., V. Michael and Dalton, Ben},
  title = {{Audio-Based Self-Localization for Ubiquitous Sensor Networks}},
  booktitle = {AES Convention 118},
  note = {Paper 6345},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13061}
}

TY  - CPAPER
TI  - Audio-Based Self-Localization for Ubiquitous Sensor Networks
AU  - Bove Jr., V. Michael
AU  - Dalton, Ben
T2  - AES Convention 118
M1  - Paper 6345
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13061
PB  - Audio Engineering Society
LA  - en
AB  - An active self-localisation algorithm is proposed which is effective for even only coarsely synchronised sensor-emitter nodes. Spatial conformation is derived from the differences in audio measurements of pseudo-noise 'chirps' emitted and detected at each of the nodes. By removing dependence on fine grained temporal synchronisation it is hoped that this technique can be used concurrently across a wide range of devices to better leverage the existing audio sensing resources that surround us. An implementation of this method is described and quantitatively compared with a more typical synchronised source location approach, both using the Smart Architectural Surfaces development platform. The viability of the method is further demonstrated in a mixed-device ad hoc sensor-network case using existing off-the-shelf technology.
ER  -