Little, Suzanne and Zhang, Dian and Ballas, Camille and O'Connor, Noel E. and Prendergast, David and Nolan, Keith and Quinn, Brian and Moran, Niall and Myers, Mike and Dillon, Clare and Meehan, Tomás (2017) Understanding packet loss for sound monitoring in a smart stadium IoT testbed. In: FAILSAFE'17: Proceedings of the First ACM International Workshop on the Engineering of Reliable, Robust, and Secure Embedded Wireless Sensing Systems. Association for Computing Machinery, New York, NY, United States, pp. 40-45. ISBN 978-1-4503-5482-0

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Abstract

The Smart Stadium for Smarter Living project provides an end-to-end testbed for IoT innovation through a collaboration between Croke Park Stadium in Dublin, Ireland and Dublin City University, Intel and Microsoft. This enables practical evaluations of IoT solutions in a controlled environment that is small enough to conduct trials but large enough to prove and challenge the technologies. An evaluation of sound monitoring capabilities during the 2016 sporting finals was used to test the capture, transfer, storage and analysis of decibel level sound monitoring. The purpose of the evaluation was to use existing sound level microphones to measure crowd response to pre-determined events for display on big screens at half-time and to test the end-to-end performance of the testbed. While this is not the specific original purpose of the sound level microphones, it provided a useful test case and produced engaging content for the project. Analysis of the data streams showed significant packet loss during the events and further investigations were conducted to understand where and how this loss occurred. This paper describes the smart stadium testbed configuration using Intel gateways linking with the Azure cloud platform and analyses the performance of the system during the sound monitoring evaluation.

Item Type:	Book Section
Additional Information:	This paper was presented at SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems, Delft, The Netherlands, 5 Nov 2017
Keywords:	Internet-of-Things; testbed; Azure platform; sound monitoring;
Academic Unit:	Faculty of Social Sciences > Anthropology
Item ID:	12062
Identification Number:	https://doi.org/10.1145/3143337.3143341
Depositing User:	David Prendergast
Date Deposited:	02 Jan 2020 16:24
Publisher:	Association for Computing Machinery
Refereed:	Yes
URI:	Publisher Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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