COVID-19 tracer: passive close-contacts searching through wi-fi probes
| Autor: | Yuqing Yin, Pengpeng Chen, Peihao Li, Qiang Niu, Xu Yang, Faren Yan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
2019-20 coronavirus outbreak Similarity (geometry) Coronavirus disease 2019 (COVID-19) Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Real-time computing 0202 electrical engineering electronic engineering information engineering Key (cryptography) 02 engineering and technology |
| Zdroj: | SenSys |
| DOI: | 10.1145/3384419.3430604 |
| Popis: | COVID-19 outbreaks rapidly around the world, which is the enemy faced by all humankind. Since COVID-19 is mainly spread through close personal contact, searching close-contacts is key to controlling this virus's spread. This paper designs COVID-19 Tracer, a novel low-cost passive system for searching COVID-19 patients' close-contacts. Utilizing ubiquitous Wi-Fi probe requests, COVID-19 Tracer can quickly determine whether a person stays in one small space with a COVID-19 patient in the same period. Furthermore, it seeks to find out a close-contact with a novel rang-free judgment algorithm for location similarity. Finally, extensive experiments conducted in a school office building show our system's good performance, and the accuracy in finding out close-contacts is more than 98%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|