A Novel Swarm Unmanned Aerial Vehicle System: Incorporating Autonomous Flight, Real-Time Object Detection, and Coordinated Intelligence for Enhanced Performance

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dc.contributor.authorBakirci, Murat
dc.date.accessioned2025-03-17T12:25:24Z
dc.date.available2025-03-17T12:25:24Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractPresently, swarm Unmanned Aerial Vehicle (UAV) systems confront an array of obstacles and constraints that detrimentally affect their efficiency and mission performance. These include restrictions on communication range, which impede operations across extensive terrains or remote locations; inadequate processing capabilities for intricate tasks such as real-time object detection or advanced data analytics; network congestion due to a large number of UAVs, resulting in delayed data exchange and potential communication failures; and power management inefficiencies reducing flight duration and overall mission endurance. Addressing these issues is paramount for the successful implementation and operation of swarm UAV systems across various real-world applications. This paper proposes a novel system designed to surmount these challenges through salient features such as fortified communication, collaborative hardware integration, task distribution, optimized network topology, and efficient routing protocols. Cost-effectiveness was prioritized in selecting the most accessible equipment satisfying minimum requirements, identified through comprehensive literature and market review. By focusing on energy efficiency and high performance, successful cooperation was facilitated through harmonized equipment and effective task division. The proposed system utilizes Raspberry Pi and Jetson Nano for task division, endowing the UAVs with superior intelligence for navigating intricate environments, real-time object detection, and the execution of coordinated actions. The incorporation of the Ad Hoc UAV Network's decentralized approach enables system adaptability and expansion in response to evolving environments and mission demands. An efficient routing protocol was selected for the system, minimizing unnecessary broadcasting and reducing network congestion, thereby ensuring extended flight durations and enhanced mission capabilities for UAVs with limited battery capacity. Through the careful selection and testing of hardware and software components, the proposed swarm UAV system improves communication range, processing power, autonomy, scalability, and energy efficiency. This makes it highly adaptable and effective for a broad spectrum of real-world applications. The proposed system sets a new standard in the field, demonstrating how the integration of intelligent hardware, optimized task division, and efficient networking can overcome the limitations of current swarm UAV systems.
dc.identifier.doi10.18280/ts.400524
dc.identifier.endpage2078
dc.identifier.issn0765-0019
dc.identifier.issn1958-5608
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85177617714
dc.identifier.scopusqualityN/A
dc.identifier.startpage2063
dc.identifier.urihttps://doi.org/10.18280/ts.400524
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1666
dc.identifier.volume40
dc.identifier.wosWOS:001094288100024
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBakirci, Murat
dc.language.isoen
dc.publisherInt Information & Engineering Technology Assoc
dc.relation.ispartofTraitement Du Signal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectswarm system
dc.subjectcommunication
dc.subjectrouting optimization
dc.subjectunmanned aerial vehicle
dc.subjectnetwork topology
dc.titleA Novel Swarm Unmanned Aerial Vehicle System: Incorporating Autonomous Flight, Real-Time Object Detection, and Coordinated Intelligence for Enhanced Performance
dc.typeArticle

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