Agent-based Simulation for Drone Charging in an Internet of Things Environment System
Sep 13, 2025·

Dr. Leonardo Grando
Equal contribution
,Jose Roberto Emiliano Leite
Equal contribution
,Edson Luiz Ursini
Equal contribution
·
0 min read
Abstract
This paper presents an agent-based simulation model for coordinating battery recharging in drone swarms, focusing on applications in Internet of Things (IoT) and Industry 4.0 environments. The proposed model includes a detailed description of the simulation methodology, system architecture, and implementation. One practical use case is explored; Smart Farming, highlighting how autonomous coordination strategies can optimize battery usage and mission efficiency in large-scale drone deployments. This work uses a machine learning technique to analyze the agent-based simulation sensitivity analysis output results.
Type
Publication
In arXiv

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.