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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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Contributor : Congduc Pham <>
Submitted on : Thursday, December 11, 2014 - 8:59:58 AM
Last modification on : Thursday, January 7, 2021 - 4:33:31 PM



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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