Experiences in measuring a human contact network for epidemiology research

This paper discusses our experience in designing and deploying a 994-node sensor network to measure the social contact network of a high school over one typical day. The system aims to capture interactions of human subjects for the study of infectious disease spread. We describe unique challenges posed by a large-scale network that is heavily affected by humans. We present techniques to address challenges such as frequent node reboots and global timestamps. The end result of the deployment is a dataset of 792 traces which can be used to calculate the school population's contact network and the rough location where interactions occurred


Published in:
Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors (HotEMNETS'10), 7
Presented at:
6th Workshop on Hot Topics in Embedded Networked Sensors (HotEMNETS'10), Killarney, Ireland, June 28-29, 2010
Year:
2010
Publisher:
New York, NY, USA, aCM
ISBN:
978-1-4503-0265-4
Laboratories:




 Record created 2015-12-10, last modified 2018-09-13


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