v2.0

The architecture is a specific instantiation of the one discussed in the following paper:

• R. Gillgallon, G. Bergami, G. Morgan. "Federated Load Balancing in Smart Cities: A 6G, Cloud, and Agentic AI Perspective" Appl. Sci. 2025, 15, 10920.

The Agentic-AI orchestration algorithm is the one discussed in the following paper:

• R. Gillgallon, G. Bergami, R. Almutairi, G. Morgan. "AI-Driven Multi-Agent Vehicular Planning for Battery Efficiency and QoS in 6G Smart Cities". MEDES 2025

We provide the links to the files narrated within the text:

• Graph Neural Network traffic prediction
• POTMO-A*
• Gawron’s algorithm over SUMO

Differently from the previous version, this one has the main codebase in Python, while still requiring the compilation of the main SimulatorOrchestrator code in Java and generating the Jar to run the Python code. Such an entry point is the following: DyMMP/DyMMP-main/DyMPPmain.py

v1.0

This is the version associated with the following paper:

Gillgallon, R.; Almutairi, R.; Bergami, G.; Morgan, G. SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure. Sensors 2025, 25, 1591. https://doi.org/10.3390/s25051591

v0.5

This version refers to the following paper:

• R. Al-Mutairi, G. Bergami, G. Morgan. "SimulatorBridgerDfT: A Real-Data Simulator for IoT-Osmotic Interactions". ICIT 2024

The experiments were carried out over datasets from https://findtransportdata.dft.gov.uk/browse

v0.4

This is the version associated with the following paper:

• R. Al-Mutairi, R. Gillgallon, G. Bergami, G. Morgan. "Approximating Real-Time IoT Interaction through Connection Counting: A QoS Perspective". eHWPAS 2024

For validating the experiments we used the Acosta Bologna dataset available here: https://github.com/DLR-TS/sumo-scenarios/tree/main/bologna/acosta

v0.2

This is the version associated with the following paper:

• R. Gillgallon, G. Bergami, G. Morgan. "Testing Routing Strategies by Simulating the Mobile IoT Edge/Cloud Continuum". ISC2-2024

For validating the experiments we used the dataset available here: https://osf.io/r263v/

v0.1

This is the version related to the following papers:

• R. Al-Mutairi, G. Bergami, G. Morgan. "SimulatorBridger: System for Monitoring Energy Efficiency of Electric Vehicles in Real-World Traffic Simulations". Journal of Engineering Research and Sciences, 3(6), 33-40, 2024 (PDF).
• R. Al-Mutairi, G. Bergami, G. Morgan, R. Gillgallon. “Platform for Energy Efficiency Monitoring Electrical Vehicle in Real World Traffic Simulation". 2023 IEEE 25th Conference on Business Informatics (CBI), Prague, Czech Republic, 2023, pp. 1-8.