Edge4Drone: Managing Landings and Takeoffs in High-Density Distribution Centers

Autor(es)

Soares, Lucas de Paula ; de Oliveira, Fabiola Martins Campos ; Kamienski, Carlos A. ; Bittencourt, Luiz F.

• Tipo de documento: Artigo Científico
• Fonte: IEEE INFOCOM 2025-IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS, INFOCOM WKSHPS; v. N/A, p. 6-pg., 2025-01-01.

Resumo

Managing high-density drone landings and takeoffs in urban aerial delivery systems is a challenging, time-critical operation. To bridge existing gaps, we propose and classify eight edge-based solutions and evaluate their performance through high-density airspace simulations encompassing all flight phases. These solutions extend the previously proposed Drone Edge Management System (DREMS) with static and dynamic dronepad allocation strategies and various control levels, including more dynamic strategies. The results demonstrate that proper sequencing significantly reduces collision rates and enhances dronepad utilization. As a contribution, we underline the importance of giving complete control to DREMS during landings and takeoffs and prioritizing landings in dynamic allocations. These insights increase operational efficiency and safety under high request rates and pave the way for more robust and efficient drone delivery systems, highlighting the potential of intelligent sequencing and adaptive control mechanisms. (AU)

• Processo FAPESP: 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS)
• Beneficiário: Christian Rodolfo Esteve Rothenberg
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada
• Processo FAPESP: 23/16328-7 - Aprendizado Federado Baseado em Névoa para Serviços de Entrega de Drones
• Beneficiário: Fabíola Martins Campos de Oliveira Genari
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 24/01769-0 - Utilizando Computação na Borda e 6G para serviços com drones
• Beneficiário: Lucas de Paula Soares
• Modalidade de apoio: Bolsas no Brasil - Mestrado