论文标题
Sonicpact：私人自动接触跟踪（PACT）协议的超声范围方法
SonicPACT: An Ultrasonic Ranging Method for the Private Automated Contact Tracing (PACT) Protocol
论文作者
论文摘要
在整个Covid-19大流行过程中，几个国家都开发并释放了接触跟踪和接触通知通知智能手机应用程序（APP），以帮助减缓疾病的传播。为了支持此类应用程序，Apple和Google已发布了使用蓝牙低能（BLE）信标的曝光通知应用程序编程接口（API）来推断设备（用户）接近。私人自动接触跟踪（PACT）团队表明，仅使用BLE无线电信号来准确估算设备之间的距离很具有挑战性。本文介绍了Sonicpact协议的设计和实现，以使用飞行时间测量值对商品iOS和Android智能手机进行近紫心信号来估算距离。该协议允许Android和iOS设备互操作，增强和改善当前的接触通知API。我们最初的实验结果是有希望的，这表明Sonicpact应该由Apple和Google考虑实施。
Throughout the course of the COVID-19 pandemic, several countries have developed and released contact tracing and exposure notification smartphone applications (apps) to help slow the spread of the disease. To support such apps, Apple and Google have released Exposure Notification Application Programming Interfaces (APIs) to infer device (user) proximity using Bluetooth Low Energy (BLE) beacons. The Private Automated Contact Tracing (PACT) team has shown that accurately estimating the distance between devices using only BLE radio signals is challenging. This paper describes the design and implementation of the SonicPACT protocol to use near-ultrasonic signals on commodity iOS and Android smartphones to estimate distances using time-of-flight measurements. The protocol allows Android and iOS devices to interoperate, augmenting and improving the current exposure notification APIs. Our initial experimental results are promising, suggesting that SonicPACT should be considered for implementation by Apple and Google.
