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Audio-Based Self-Localization for Ubiquitous Sensor Networks

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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.

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