🤖 AI Summary
To address the lack of efficient, low-cost, and user-friendly simulation platforms for unmanned aerial vehicle (UAV) networks, this paper designs and implements an open-source, lightweight simulation platform built in Python. The platform integrates core modules including routing, MAC layer protocols, topology control, mobility modeling, and energy consumption modeling, enabling rapid prototyping, closed-loop testing, and multidimensional performance evaluation of UAV communication protocols and algorithms. It features an interactive visualization interface that balances usability with extensibility. Compared to field experiments and existing simulation tools, the platform significantly reduces development costs and accelerates validation cycles. It is particularly suited for rapid algorithm iteration, educational demonstrations, and research on small-to-medium-scale UAV networks. By providing a functionally comprehensive, easily deployable simulation infrastructure, the platform advances UAV communication system research and experimentation.
📝 Abstract
In unmanned aerial vehicle (UAV) networks, communication protocols and algorithms are essential for cooperation and collaboration between UAVs. Simulation provides a cost-effective solution for prototyping, debugging, and analyzing protocols and algorithms, avoiding the prohibitive expenses of field experiments. In this paper, we present ``UavNetSim-v1'', an open-source Python-based simulation platform designed for rapid development, testing, and evaluating the protocols and algorithms in UAV networks. ``UavNetSim-v1'' provides most of the functionalities developers may need, including routing/medium access control (MAC) protocols, topology control algorithms and mobility/energy models, while maintaining ease of use. Furthermore, the platform supports comprehensive performance evaluation and features an interactive visualization interface for in-depth algorithm analysis. In short, ``UavNetSim-v1'' lends itself to both rapid prototyping and educational purposes, and can serve as a lightweight yet powerful alternative to mature network simulators for UAV communication research.