Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics
作者机构：College of Computing and Information SciencesPAF KIETKarachiPakistan Department of Computer ScienceLahore Garrison UniversityLahorePakistan Department of Computer ScienceUmm Al-Qura UniversityMakkah CitySaudi Arabia
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2021年第67卷第6期
页 面：3545-3562页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by Data and Articial Intelligence Scientic Chair at Umm Al-Qura University Makkah City Saudi Arabia
主 题：Coronavirus disease 2019 pandemic machine-to-machine industrial internet of things social distance geo-fencing
摘 要：Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish u,swine u,and coronavirus disease 2019(COVID-19).This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation *** technologies can help prevent outbreaks of any disease that can disperse widely and develop into a ***,a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy beacon packets for smart contact ***,the connectivity of the device with Android or iOS applications using long-term evolution technology is realized to achieve ***,mathematical formulations are proposed to measure the distance between coordinates in order to detect geo-fencing *** formulations are specically designed for the virtual circular and polygonal boundaries used to restrict suspected or infected persons from trespassing in predetermined areas,e.g.,at home,in a hospital,or in an isolation *** proposed framework outperforms existing solutions,since it is implemented on a wider scale,provides a range of functionalities,and is cost-effective.
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