Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks

Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situation, broadcasting and advertising, public safety, disaster management, etc. Providing robust communication services to mobile users (MUs) is a challenging task because of the dynamic characteristics of MUs...

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Detalles Bibliográficos
Autores principales: Alkanhel, Reem, Rafiq, Ahsan, Mokrov, Evgeny, Khakimov, Abdukodir, Muthanna, Mohammed Saleh Ali, Muthanna, Ammar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459001/
https://www.ncbi.nlm.nih.gov/pubmed/37631620
http://dx.doi.org/10.3390/s23167083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459001/
https://www.ncbi.nlm.nih.gov/pubmed/37631620
http://dx.doi.org/10.3390/s23167083

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