Opportunistic Sensing: Unattended Acoustic Sensor Selection using Crowdsourcing Models

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dc.contributor.authorHuang, P.-S.
dc.contributor.authorHasegawa-Johnson, M.
dc.contributor.authorYin, W.
dc.contributor.authorHuang, T.S.
dc.date.accessioned2018-06-19T17:48:01Z
dc.date.available2018-06-19T17:48:01Z
dc.date.issued2012-08
dc.date.noteAugust 2012
dc.description.abstractUnattended wireless sensor networks have been widely used in many applications. This paper proposes automatic sensor selection methods based on crowdsourcing models in the Opportunistic Sensing framework, with applications to unattended acoustic sensor selection. Precisely, we propose two sensor selection criteria and solve them via greedy algorithm and quadratic assignment. Our proposed method achieves, on average, 5.64% higher accuracy than the traditional approach under sparse reliability conditions.
dc.format.extent6 pp
dc.identifier.citationHuang, P.-S., Hasegawa-Johnson, M., Yin, W., et al.. "Opportunistic Sensing: Unattended Acoustic Sensor Selection using Crowdsourcing Models." (2012) <a href="https://hdl.handle.net/1911/102208">https://hdl.handle.net/1911/102208</a>.
dc.identifier.digitalTR12-19
dc.identifier.urihttps://hdl.handle.net/1911/102208
dc.language.isoeng
dc.titleOpportunistic Sensing: Unattended Acoustic Sensor Selection using Crowdsourcing Models
dc.typeTechnical report
dc.type.dcmiText
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