Smart City Gnosys

Smart city article details

Title	An Unmanned Aerial Vehicle (Uav) System For Disaster And Crisis Management In Smart Cities
ID_Doc	8990
Authors	Alawad W.; Halima N.B.; Aziz L.
Year	2023
Published	Electronics (Switzerland), 12, 4
DOI	http://dx.doi.org/10.3390/electronics12041051
Abstract	Over the course of the last decade, the unmanned aerial vehicle (UAV) research community has received a significant amount of attention. Emergency response operations, such as those that follow a natural disaster, are one of the civil applications that could benefit from the use of UAVs in disaster and crisis management. In the event of a catastrophic event, it would be extremely beneficial for both victims and first responders to have access to a UAV network that is capable of deploying independently and offering communication services. However, when working with complicated situations, one of the most difficult things is coming up with exploratory paths for the networks involved. A crisis and disaster management system using a swarm optimization algorithm (SOA) is proposed to assist in disaster and crisis management. In this system, the UAV search and rescue team follows the strategy called the delay tolerant network, which has the ability to explore. The proposed approach is able to find the global maximum in the search space without ever settling for a suboptimal solution. This work has two primary objectives: the first is to investigate a potential disaster zone, and the second is to direct the UAV to a number of victim groups that were found during the investigation phase. For the purpose of performing a characterization, performance metrics such as delay, throughput, performance rate, and path loss have been analyzed. The results show the superiority of the performance over the existing work. © 2023 by the authors.
Author Keywords	disaster management; edge computing; Internet of Things; optimization; swarm optimization algorithm; unmanned aerial vehicles

Similar Articles

Id	Similarity	Authors	Title	Published
34952	0.917	Gao T.; Goins D.; Ballotti C.; Liu J.; Qu C.	Learning-Based Uav Swarm Video Analytics Orchestration In Disaster Response Management	SN Computer Science, 6, 5 (2025)
6398	0.914	Qadir, Z; Ullah, F; Munawar, HS; Al-Turjman, F	Addressing Disasters In Smart Cities Through Uavs Path Planning And 5G Communications: A Systematic Review	COMPUTER COMMUNICATIONS, 168 (2021)
6534	0.905	Adam M.S.; Abdullah N.F.; Abu-Samah A.; Amodu O.A.; Nordin R.	Advanced Path Planning For Uav Swarms In Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms	Drones, 9, 1 (2025)
33094	0.896	Liu H.; Tsang Y.P.; Lee C.K.M.; Wang Y.; Wang F.-Y.	Internet Of Uavs To Automate Search And Rescue Missions In Post-Disaster For Smart Cities	IEEE Intelligent Vehicles Symposium, Proceedings (2024)
57677	0.887	Gao J.; Wang Q.; Li Z.; Zhang X.; Hu Y.; Han Q.; Pan Y.	Toward Efficient Urban Emergency Response Using Uavs Riding Crowdsourced Buses	IEEE Internet of Things Journal, 11, 12 (2024)
41877	0.876	Noguchi T.; Komiya Y.	Persistent Cooperative Monitoring System Of Disaster Areas Using Uav Networks	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019)
7079	0.874	Rashida Farsath K.; Jitha K.; Mohammed Marwan V.K.; Muhammed Ali Jouhar A.; Muhammed Farseen K.P.; Musrifa K.A.	Ai-Enhanced Unmanned Aerial Vehicles For Search And Rescue Operations	2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024 (2024)
40927	0.873	Qadir Z.; Zafar M.H.; Moosavi S.K.R.; Le K.N.; Tam V.W.Y.	Optimizing Uav Path For Disaster Management In Smart Cities Using Metaheuristic Algorithms	Studies in Computational Intelligence, 1033 (2022)
35147	0.868	Ranjan A.; Sahu H.B.; Misra P.; Panigrahi B.	Leveraging Unmanned Aerial Vehicles In Mining Industry: Research Opportunities And Challenges	Unmanned System Technologies (2020)
26577	0.866	Anagnostopoulos T.; Psaromiligkos Y.	Fire Disaster Recovery And Resource Allocation Enabled By Firefighters’ Sustainable Uav Technology In Smart Cities	Multiple Criteria Decision Making, Part F1272 (2023)