English

WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery

Social and Information Networks 2020-07-27 v1 Machine Learning Networking and Internet Architecture

Abstract

The recovery phase of the COVID-19 pandemic requires careful planning and monitoring while people gradually return to work. Internet-of-Things (IoT) is widely regarded as a crucial tool to help combating COVID-19 pandemic in many areas and societies. In particular, the heterogeneous data captured by IoT solutions can inform policy making and quick responses to community events. This article introduces a novel IoT crowd monitoring solution which uses software defined networks (SDN) assisted WiFi access points as 24/7 sensors to monitor and analyze the use of physical space. Prototypes and crowd behavior models are developed using over 500 million records captured on a university campus. Besides supporting informed decision at institution level, the results can be used by individual visitors to plan or schedule their access to facilities.

Keywords

Cite

@article{arxiv.2007.12250,
  title  = {WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery},
  author = {Mu Mu},
  journal= {arXiv preprint arXiv:2007.12250},
  year   = {2020}
}