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

Cong-Duc Pham 1 Philippe Cousin 2 Arnaud Carer 3
1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 Easy Global Market [Sophia-Antipolis]
3 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
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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Conference papers
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https://hal.archives-ouvertes.fr/hal-01093717
Contributor : Congduc Pham <>
Submitted on : Thursday, December 11, 2014 - 8:59:58 AM
Last modification on : Friday, April 26, 2019 - 6:52:17 PM

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UNIV-RENNES1 | CNRS | INRIA | UNIV-PAU | IRISA | IRISA-D3 | INSTITUT-TELECOM | UR1-UFR-ISTIC | UNIV-RENNES | LIUPPA

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Cong-Duc 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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