The latest advances in several emerging technologies such as AI,
blockchain, privacy-preserving algorithms used in localization and
positioning systems, cloud computing and computer vision all have great
potential in facilitating social distancing. Benefits range from
supporting people to work from home to monitoring micro- and macro-
movements such as contact tracing apps using Bluetooth, tracking the
movement and transportation level of a city and wireless positioning
systems to help people keep a safe distance by alerting them when they
are too close to each other or to avoid congestion. However,
implementing such technologies in practical scenarios still faces
various challenges.
This book aims to lay the foundations of how these technologies could be
adopted to realize and facilitate social distancing to better manage
pandemics and future outbreaks. Starting with basic concepts, models and
practical technology-based social distancing scenarios, the authors
present enabling wireless technologies and solutions which could be
widely adopted to encourage social distancing. They include symptom
prediction, detection and monitoring of quarantined people and contact
tracing. In the future, smart infrastructures for next-generation
wireless systems should incorporate a pandemic mode in their standard
architecture and design.