dc.contributor.author | Kuru, K. | |
dc.contributor.author | Ansell, D. | |
dc.contributor.author | Khan, W. | |
dc.contributor.author | Yetgin, H. | |
dc.date.accessioned | 2021-12-16T10:12:04Z | |
dc.date.available | 2021-12-16T10:12:04Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 21693536 | |
dc.identifier.uri | https://doi.org/10.1109/ACCESS.2019.2892716 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12966 | |
dc.description.abstract | Deploying unmanned aerial vehicle (UAV) swarms in delivery systems are still in its infancy with regard to the technology, safety, and aviation rules and regulations. Optimal use of UAVs in dynamic environments is important in many aspects, e.g., increasi | |
dc.language.iso | English | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.rights | All Open Access, Gold, Green | |
dc.source | IEEE Access | |
dc.title | Analysis and Optimization of Unmanned Aerial Vehicle Swarms in Logistics: An Intelligent Delivery Platform | |
dc.type | Article | |
dc.identifier.startpage | 15804 | |
dc.identifier.endpage | 15831 | |
dc.identifier.doi | 10.1109/ACCESS.2019.2892716 | |
dc.identifier.scopus | 2-s2.0-85061767970 | |
dc.identifier.volume | 7 | |