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.
Cite
@article{arxiv.1709.02233,
title = {EpiFi: An In-Home Sensor Network Architecture for Epidemiological Studies},
author = {Philip Lundrigan and Kyeong Min and Neal Patwari and Sneha Kasera and Kerry Kelly and Jimmy Moore and Miriah Meyer and Scott C. Collingwood and Flory Nkoy and Bryan Stone and Katherine Sward},
journal= {arXiv preprint arXiv:1709.02233},
year = {2017}
}