Real-time On-Demand Multi-Hop Audio Streaming with Low-Resource Sensor Motes

Abstract : The European EAR-IT project addresses “real-life” experimentations of intelligent acoustic for supporting high societal value applications in a large-scale smart environment. For instance a city emergency center can request on-demand acoustic data samples for surveillance purposes and management of emergencies. In this paper, we will present experimentations on streaming encoded acoustic on the SmartSantander large scale test-bed. We will present the various audio hardware that were developed to meet the constraints of audio capture and transmission with low-resources devices. We will highlight the main sources of delays and will show how multi-hop streaming of acoustic data can be achieved by carefully taking into account these performance limitations with appropriate audio aggregation techniques.
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Communication dans un congrès
LCN 2014 - 39th Conference on Local Computer Networks Workshops, Sep 2014, Edmonton, Canada. pp.539 - 543, 〈10.1109/LCNW.2014.6927700〉
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https://hal.archives-ouvertes.fr/hal-01093717
Contributeur : Congduc Pham <>
Soumis le : jeudi 11 décembre 2014 - 08:59:58
Dernière modification le : jeudi 15 février 2018 - 22:01:08

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Congduc Pham, Philippe Cousin, Arnaud Carer. Real-time On-Demand Multi-Hop Audio Streaming with Low-Resource Sensor Motes. LCN 2014 - 39th Conference on Local Computer Networks Workshops, Sep 2014, Edmonton, Canada. pp.539 - 543, 〈10.1109/LCNW.2014.6927700〉. 〈hal-01093717〉

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