An agent-based simulation model for coordinating drone swarm battery recharging in IoT and Smart Farming environments, utilizing machine learning for sensitivity analysis.
Ph.D. Thesis (UNICAMP) developing and testing coordination proposals for UAV swarm battery recharging using Agent-Based Simulation and a game theory-based policy, demonstrating …
Agent-Based Simulation (ABS) model for UAV battery recharge coordination in Precision Agriculture, Disaster Recovery, and Dengue control, proposing policies to reduce communication …
A systematic literature review examining simulations of drone recharging technologies in precision agriculture and disaster relief, identifying key research gaps in coordination …
I presente of our full paper work: **Modeling and Simulation of Battery Recharging for UAV Applications: Smart Farming, Disaster Recovery, and Dengue Focus Detections** at the …
This work presents an Agent-Based Simulation Model considering energy supply simulation for UAVs in Smart Farming, Disaster Recovery, and Dengue detection scenarios.
I presented the status of my September 2024 Ph.D. research **Análise de consumo de bateria de dispositivos usados em IoT (Internet das Coisas)** at the XV FT Unicamp Workshop.
I presented our work: **Modeling and Simulation for Farming Drone Battery Recharging** at the Simulation Around the World (SATW) Track.
This work simulates the Connected Farm environment for an autonomous drone, aiming to define optimal battery recharging schedules without collusion to reduce battery usage.
This work proposes internal estimators for drones to predict charger attendance rates in FANETs without coordination communication, verified through Agent-Based Simulation and Nash …