A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)-Reference-Cited by-同舟云学术

A Survey: Future Smart Cities Based on Advance Control of Unmanned Aerial Vehicles (UAVs)

Published:2023-08-31 Issue:17 Volume:13 Page:9881
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Abbas Nadir¹^ORCID,Abbas Zeshan²,Liu Xiaodong¹,Khan Saad Saleem³,Foster Eric Deale⁴,Larkin Stephen⁴

Affiliation:

1. School of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116620, China

2. Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic, Shenzhen 518055, China

3. United Arab Emirates University, Al-Ain P.O. Box 15551, United Arab Emirates

4. Omega Aviation Ltd., Leicester LE9 4LG, UK

Abstract

This article presents a survey of unmanned aerial vehicle (UAV) applications in smart cities, emphasizing integration challenges. Smart cities leverage innovative technologies, including the Internet of Things (IoT) and UAVs, to enhance residents’ quality of life. The study highlights UAV applications, challenges, limitations, and future perspectives of smart city development. Advanced control methods for maximizing UAV benefits are discussed. Control theory challenges and issues for the deployment of UAVs are addressed. By concentrating on challenges, potential applications, and advanced control techniques, this paper offers insights into UAVs’ role in shaping the future of smart cities.

Funder

Omega Aviation Ltd. UK and the National Key R&D Program of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/17/9881/pdf

Reference133 articles.

1. Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge;Eldeeb;IEEE Trans. Veh. Technol.,2022

2. Mahmood, A., Vu, T.X., Khan, W.U., Chatzinotas, S., and Ottersten, B. (2022, January 4–8). Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communication. Proceedings of the 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil.

3. Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city;Liu;J. Control Decis.,2023

4. Bifurcation scenarios for pilot induced oscillations;Bucolo;Aerosp. Sci. Technol.,2020

5. Communication and Control in Collaborative UAVs: Recent Advances and Future Trends;Javaid;IEEE Trans. Intell. Transp. Syst.,2023

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