Modeling and Simulation of Battery Recharging for UAVs Applications: Smart Farming, Disaster Recovery, and Dengue Focus Detections
Dec 15, 2024·
Dr. Leonardo Grando
Equal contribution
,Juan F Galindo Jaramillo
Equal contribution
,Jose Roberto Emiliano Leite
Equal contribution
,Edson Luiz Ursini
Equal contribution
·
0 min readAbstract
The applications of Unnamed Aerial Vehicles (UAVs) or Drones have been increasing in areas such as Smart Farming, Disaster Recovery, and combat of tropical mosquito diseases such as Dengue. Due to the short duration of the electrical battery capacity, at most 20 to 30 minutes in some cases, most UAVs have low battery capacity to carry out missions. This work presents two contributions: i) a description of the characteristics observed in three drone applications (agricultural, disaster, and against dengue disease), and ii) the creation of an Agent-Based Simulation Model considering energy supply simulation. This model considers that the agents will not collude about their recharging decisions.
Type
Publication
In 2024 Winter Simulation Conference
Smart Agriculture
Precision Agriculture
Performance Evaluation
Visualization
Disasters
Computational Modeling
Batteries
Viruses (Medical)
Drones
Diseases
Authors
Dr. Leonardo Grando
(he/him)
Professor & Researcher
Dr. Leonardo Grando is a researcher focused on Complex Systems, Artificial Intelligence, and Agent-Based Simulation (NetLogo).
He holds a Ph.D. in Technology from UNICAMP and works as an Assistant Professor at UNASP, pushing the boundaries of Educational Technology and IoT.