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Benchmarking Low-Resource Device Test-Beds for Real-Time Acoustic Data

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Abstract

The EAR-IT project relies on 2 test-beds to demonstrate the use of acoustic data in smart environments: the smart city SmartSantander test-bed and the smart building HobNet test-beds. In this paper, we take a benchmarking approach to qualify the various EAR-IT test-bed based on WSN and IoT nodes with IEEE 802.15.4 radio technology. We will highlight the main performance bottlenecks when it comes to support transmission of acoustic data. We will also consider audio quality and energy aspects as part of our benchmark methodology in order to provide both performance and usability indicators. Experimentations of multi-hop acoustic data transmissions on the SmartSantander test-bed will be presented and we will demonstrate that streaming acoustic data can be realized in a multi-hop manner on low-resource device infrastructures.

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Correspondence to Congduc Pham .

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pham, C., Cousin, P. (2014). Benchmarking Low-Resource Device Test-Beds for Real-Time Acoustic Data. In: Leung, V., Chen, M., Wan, J., Zhang, Y. (eds) Testbeds and Research Infrastructure: Development of Networks and Communities. TridentCom 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 137. Springer, Cham. https://doi.org/10.1007/978-3-319-13326-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-13326-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13325-6

  • Online ISBN: 978-3-319-13326-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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