Title

Intelligent Aerial-Ground Surveillance and Epidemic Prevention with Discriminative Public and Private Services

Document Type

Article

Source of Publication

IEEE Network

Publication Date

1-1-2022

Abstract

Since complete surveillance is essential to provide safe daily life to citizen in smart cities, the issue of how to achieve secure surveillance has been driven by various research communities. Also, due to recent epidemic spread such as COVID-19, it is obvious that we should focus on how to manage a cooperative framework for possible future pandemic fights and allied medical services continuously. To support those purposes, it is anticipated that we can utilize AI-assisted communications and technologies using a variety of devices and equipment, including UAVs, mobile robots, and smart devices on the aerial and ground sides. In this article, an aerial-ground cooperative infrastructure is designed to study surveillance and epidemic prevention with managing energy recharge and AI-supported communications through collected or pre-knowledge information for public and private areas. Also, in the proposed architecture, we specify system settings, promising scenarios, and strategies in order to satisfy several objectives and tasks. Then possible research challenges and issues are addressed for successful realization and management of intelligent surveillance and efficient epidemic prevention.

ISSN

0890-8044

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

36

Issue

3

First Page

40

Last Page

46

Disciplines

Computer Sciences

Keywords

COVID-19, Smart cities, Pandemics, Surveillance, Medical services, Mobile robots, Autonomous aerial vehicles

Scopus ID

85135357281

Indexed in Scopus

yes

Open Access

no

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