Abstract:
Drone Ad-hoc Networks (DANET) empower drones to set up networks independently, crucial for applications requiring rapid deployment without traditional infrastructure. Managing these networks efficiently, especially under the stringent demands for ultra-low latency and high efficiency in 6G environments, presents significant challenges. The Peregrine Falcon Optimization Routing Protocol (PFORP) addresses these challenges by enhancing network scalability and routing efficiency. Inspired by the precision and adaptability of peregrine falcon birds, PFORP incorporates dynamic topology management and predictive algorithms to optimize network responses. PFORP's mechanism involves a sophisticated routing matrix that actively monitors environmental conditions and network traffic to adjust routing paths dynamically. This protocol uses real-time data to streamline routes, minimizing latency and maximizing efficiency. By continuously adapting to the network's current state, PFORP ensures that communication paths remain optimal, reducing the potential for packet loss and delays. PFORP's automatic retransmission request minimizes the latency with the target of minimizing the energy consumption. Simulation results from the NS-3 platform indicate that PFORP significantly outperforms traditional routing methods regarding packet delivery and energy efficiency, maintaining robust performance even as network size increases. These attributes position PFORP as a transformative approach for future 6G drone networks, ensuring compliance with the critical requirements of next-generation communications for reduced latency and enhanced operational efficiency.
