Agent-based Simulation for Drone Charging in an Internet of Things Environment System

Sep 13, 2025·
Dr. Leonardo Grando
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
Dr. Leonardo Grando
Authors
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.
Authors
Researcher