6Fit-A-Part: A Protocol for Physical Distancing on a Custom Wearable Device

6Fit-A-Part: A Protocol for Physical Distancing on a Custom Wearable Device
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DOI:
10.1109/icnp49622.2020.9259374
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发表时间:
2020-10
期刊:
2020 IEEE 28th International Conference on Network Protocols (ICNP)
影响因子:
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通讯作者:
Yifeng Cao;Ashutosh Dhekne;M. Ammar
Yifeng Cao;Ashutosh Dhekne;M. Ammar
中科院分区:
其他
文献类型:
--
作者:
Yifeng Cao;Ashutosh Dhekne;M. Ammar

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冠状病毒大流行正在改变我们的生活方式。随着越来越多的机构开放,人们预计将遵循物理距离的指导方针。然而,执行情况很差;仅仅张贴警告标志,呼吁公众与他人保持6英尺的距离是远远不够的。在本文中,我们考虑的可穿戴设备的设计,提出了警报,如果在设定的距离内检测到另一个类似的设备。它使用现成的超宽带无线电技术,用于与附近其他人进行实时、准确的距离估计。我们设计了一个一对所有的测距协议,能够准确地估计到邻近设备的距离,并警告用户,如果距离福尔斯低于一定的阈值在短时间内。当器械之间存在物理屏障时,器械必须补偿人体闭塞并避免不必要的警告。我们实现和评估我们的协议在一个小型的测试平台与自定义原型硬件以及在模拟。我们的测距协议能够每秒执行多达10个距离测量,同时避免数据包冲突。在10节点网络中,完成测距的总体百分比约为65%,即使在频繁的人类遮挡下,距离精度也约为20 cm。我们相信这个原型将提供第一步,以确保在各种现实世界的设置物理距离。
The coronavirus pandemic is altering our way of life. As more establishments open, there is an expectation that people will follow physical distancing guidelines. The implementation, however, is poor; just putting up warning signs appealing the general public to keep a distance of 6 feet from others is hardly enough. In this paper we consider the design of a wearable device that raises an alarm if another similar device is detected within a set distance. It uses off-the-shelf ultra-wideband radio technology for real-time, accurate distance estimation from others in the vicinity. We design an one-to-all ranging protocol that is able to accurately estimate distance to neighboring devices and warn the user if the distance falls below a certain established threshold within a short time. The device must compensate for human occlusions and avoid unnecessary warnings when physical barriers exist between devices. We implement and evaluate our protocol in a small testbed with custom prototype hardware as well as in simulation. Our ranging protocol is capable of performing up to 10 distance measurements per second, while avoiding packet collisions. The overall percentage of rangings completed is around 65% in a 10-node network, and the distance accuracy is around 20cm even with frequent human occlusions. We believe this prototype will provide the first steps to ensure physical distancing in various real-world settings.