This work presents an Agent-Based Simulation Model considering energy supply simulation for UAVs in Smart Farming, Disaster Recovery, and Dengue detection scenarios.
This work simulates the Connected Farm environment for an autonomous drone, aiming to define optimal battery recharging schedules without collusion to reduce battery usage.
Using Agent-Based Models (ABM) for disease incidence may help decision-making processes. This work shows an ABM for cervical cancer detection.
This work proposes internal estimators for drones to predict charger attendance rates in FANETs without coordination communication, verified through Agent-Based Simulation and Nash …