EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies

Philip Lundrigan; Kyeong Min; Neal Patwari; Sneha Kasera; Kerry Kelly; Jimmy Moore; Miriah Meyer; Scott C. Collingwood; Flory Nkoy; Bryan Stone; Katherine Sward

arXiv · 1709.02233

EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies

Philip Lundrigan·Kyeong Min·Neal Patwari·Sneha Kasera·Kerry Kelly·Jimmy Moore·Miriah Meyer·Scott C. Collingwood·Flory Nkoy·Bryan Stone·Katherine Sward

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Abstract

We design and build a system called EpiFi, which allows epidemiologists to easily design and deploy experiments in homes. The focus of EpiFi is reducing the barrier to entry for deploying and using an in-home sensor network. We present a novel architecture for in-home sensor networks configured using a single configuration file and provide: a fast and reliable method for device discovery when installed in the home, a new mechanism for sensors to authenticate over the air using a subject's home WiFi router, and data reliability mechanisms to minimize loss in the network through a long-term deployment. We work collaboratively with pediatric asthma researchers to design three studies and deploy EpiFi in homes.

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Philip Lundrigan, Kyeong Min, Neal Patwari, Sneha Kasera, Kerry Kelly, Jimmy Moore, Miriah Meyer, Scott C. Collingwood, Flory Nkoy, Bryan Stone, Katherine Sward. 2017-09-07. EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies. https://arxiv.org/abs/1709.02233

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