A Channel Rendezvous Algorithm for Multi-Unmanned Aerial Vehicle Networks Based on Average Consensus

Area of Science:

• Computer Science
• Electrical Engineering
• Robotics

Background:

• Multi-unmanned aerial vehicle (UAV) networks face challenges in distributed adaptive network construction due to unreliable control channels and limited sensing ranges in crowded electromagnetic environments.
• Maintaining communication links is critical for the functionality of multi-UAV networks, but interference often disrupts these connections.

Purpose of the Study:

• To develop and evaluate novel algorithms for enabling multi-UAV networks to achieve channel rendezvous, ensuring reliable communication.
• To address the limitations of existing methods by proposing solutions that work with or without prior knowledge of network topology.

Main Methods:

• Proposed the memory-based average consistency (MAC) algorithm, which uses the network adjacency matrix as prior information for channel synchronization.
• Introduced the Multi-Radio Average Consensus (MRAC) algorithm for scenarios where the adjacency matrix is unknown, balancing performance and hardware costs.
• Utilized simulation results and a software-defined radio platform for hardware simulation to validate algorithm effectiveness.

Main Results:

• The MAC and MRAC algorithms demonstrated superior network convergence time and scalability across networks with varying densities.
• Simulation results confirmed the effectiveness of the proposed algorithms in achieving efficient channel rendezvous for multi-UAV networks.
• Experimental validation on a hardware simulation platform proved the practical applicability of the MAC algorithm in real-world environments.

Conclusions:

• The developed MAC and MRAC algorithms effectively address the channel rendezvous challenge in multi-UAV networks.
• These algorithms offer improved performance in terms of convergence speed and scalability, making them suitable for diverse network densities.
• The successful hardware simulation validates the practical implementation and effectiveness of the MAC algorithm in real-world multi-UAV communication scenarios.