Publication: Heuristic Algorithms Testbed for Flying Ad-Hoc Network Systems
| dc.contributor.authors | Erkalkan E., Topuz V., Buldu A. | |
| dc.date.accessioned | 2022-03-15T02:15:04Z | |
| dc.date.accessioned | 2026-01-10T20:52:36Z | |
| dc.date.available | 2022-03-15T02:15:04Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | UAVs in military and commercial applications; It plays several important roles in situational awareness, search and rescue, environmental monitoring, and environmental surveillance in natural disasters. Working with a small group of unmanned aerial vehicles has far more advantages than working with a single larger unmanned aerial vehicle. In this study, it is proposed to develop a testbed in which smart algorithms can be tested for mesh UAV network systems outside the communication range of the ground control station. Unlike other multi-UAV systems, it has fully autonomous and ultra-low power calculation features. The hardware design and communication algorithms of the Mesh UAV network system are discussed. © 2020 IEEE. | |
| dc.identifier.doi | 10.1109/ASYU50717.2020.9259892 | |
| dc.identifier.isbn | 9781728191362 | |
| dc.identifier.uri | https://hdl.handle.net/11424/248093 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | artificial intelligence | |
| dc.subject | FANET | |
| dc.subject | heuristic algorithms | |
| dc.subject | test bed implementation | |
| dc.title | Heuristic Algorithms Testbed for Flying Ad-Hoc Network Systems | |
| dc.type | conferenceObject | |
| dspace.entity.type | Publication | |
| oaire.citation.title | Proceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 |
