Surveillance, Reconnaissance and Detection Services for Disaster Operations of IoT-Based eVTOL UAVs with Swarm Intelligence

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dc.contributor.authorBakirci, Murat
dc.contributor.authorOzer, Muhammed Mirac
dc.date.accessioned2025-03-17T12:22:49Z
dc.date.available2025-03-17T12:22:49Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.descriptionIEEE; IEEE Education Society's
dc.description11th International Symposium on Digital Forensics and Security, ISDFS 2023 -- 11 May 2023 through 12 May 2023 -- TN -- 189042
dc.description.abstractThis study offers a swarm system solution of a fully autonomous electric vertical take-off and landing (eVTOL) rotary wing unmanned aerial vehicles (UAV) providing optimum level of telecommunication service, communication and formation skills, casualty detection, and transportation in a natural disaster scenario in a region with areas where GPS data is corrupted. It is ensured that the swarm UAV system, which follows the guide UAV in the disaster area by taking different formations and maintains these formations in case of GPS interruptions, makes the necessary observations through embedded cameras. Moreover, in line with the decisions to be made by the system, it provides telecommunication services to as many users as possible for as long as possible with its mobile base stations and transporting the injured to suitable regions. In order to provide information to users with smart devices that support IoT, necessary information and services can be transferred to users via connector UAVs by establishing a connection between the ground station and swarm UAVs. A secure communication network is provided in response to security risks that may occur while the UAVs in the swarm communicate throughout the mission. In addition to the system working together in different formations and broken GPS situations throughout the mission, communication limits are reduced in the insecure area between the swarm and the connector UAV, where communication cannot be achieved, and the unsafe interval is minimized. © 2023 IEEE.
dc.identifier.doi10.1109/ISDFS58141.2023.10131702
dc.identifier.isbn979-835033698-6
dc.identifier.scopus2-s2.0-85163070309
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISDFS58141.2023.10131702
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1406
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofISDFS 2023 - 11th International Symposium on Digital Forensics and Security
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250316
dc.subjectdisaster operations
dc.subjectreconnaissance
dc.subjectsecure communication
dc.subjectsurveillance
dc.subjectSwarm UAV systems
dc.titleSurveillance, Reconnaissance and Detection Services for Disaster Operations of IoT-Based eVTOL UAVs with Swarm Intelligence
dc.typeConference Object

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