The Unmanned Aerial Vehicle (UAV) swarm technology is becoming a crucial enabling solution for applications in Intelligent Transportation, Precision Agriculture, Disaster Management and Environmental Monitoring, as well as Next Generation Wireless Communications. The multi-dimensional mobility of UAV swarms in 3D space, however, brings several networking issues such as frequent topology changes, unstable communication links, excessive routing overhead, and limited energy resources. The available routing protocols for conventional flying ad-hoc network (FANET) and existing clustering approaches are mainly based on energy-centric or static decisions making, mechanisms that are flexibles for reliable communication of thousands of nodes in a swarming environment. In order to overcome these drawbacks, the authors introduce this paper a Velocity-Aware Hierarchical Communication Framework (VAHCF) for scalable and resilient UAV swarms. The proposed framework classifies UAVs into these adaptive clusters and provides an energy residual velocity-aware leader election strategy that balances residual energy, mobility stability and local connectivity to form a secure communication backbone. The framework combines predictive mobility awareness and hierarchical multi-hop communication, which minimizes the number of unnecessary control signaling, enhances route stability and facilitates smooth cluster management for dynamic swarm operations. To provide practical aerial networking conditions, a three-dimensional mobility model and a realistic wireless propagation characteristics are added. The proposed approach is verified by conducting comprehensive validation using extensive simulations in the NS-3 environment for both varying node densities and mobility scenarios, to compare the approach with representative routing architectures and with the support of various performance metrics like packet delivery ratio, end-to-end delay, communication overhead, scalability and energy efficiency. The results acquired show that the velocity-aware hierarchical tactic could strikingly improve the reliability of communication and network resilience with efficient utilization of resources for dense and fast-changing airborne nests. The suggested framework can be used as a practical aid for the future autonomous aerial networks and presents the potential for seamless integration with edge intelligence, 5G/6G NTN and cooperative swarm applications with AI.

Keywords: UAV Swarm Networks, Flying Ad-hoc Networks (FANETs), Hierarchical Communication, Velocity-Aware Clustering, Multi-hop Routing, Network Resilience, NS-3, Scalable Aerial Networks, 5G/6G Communications.