Leave Your Message
Practical Application of Flying Ad-Hoc Network (FANET) in Solving Multi-UAV Inter-communication Problems
Supports

Practical Application of Flying Ad-Hoc Network (FANET) in Solving Multi-UAV Inter-communication Problems

2024-09-25

 The practical application cases and effects of Flying Ad-Hoc Network (FANET) in solving the communication problems among multiple UAVs are evaluated as follows:

  1. Practical applications

  FANET exploits the mobility, less central control, and self-organizing characteristics of UAVs to extend connectivity and communication distance in geographic areas where cellular infrastructure is limited. Such characteristics allow FANET to provide effective communication solutions in areas with no or insufficient infrastructure.

  In a flying self-organizing network consisting of multiple UAVs, the limitations of a single UAV are broken and more complex tasks can be accomplished by introducing cooperation between UAVs. For example, the total network throughput performance of the system is improved by optimizing the multi-hop routing structure and interference-aware joint power control.

  The proposed FANET based on self-organizing network technology provides reliable and real-time network communication for UAV swarms, which becomes a good solution to solve the communication problem among multiple UAVs. This network has a highly dynamic and rapidly changing topology that ensures efficient information transfer between nodes.

2 Evaluation of effectiveness

  The application of Reinforcement Learning (RL) in FANET designs autonomous, adaptive and self-learning routing protocols with the main objective of ensuring stable routing solutions with low latency and minimum energy consumption. These protocols significantly improve the efficiency and reliability of the network.

  FANETs are characterized by high mobility and frequent topology changes, which leads to more packet loss and network re-routing, thus increasing the network overhead. However, these challenges can be effectively addressed by optimizing models and algorithms, such as topology optimization based on the adaptive hummingbird algorithm, to ensure system survivability and operability.

  Interference-aware joint power control and routing optimization in multi-UAV FANETs further improves the system's interference immunity and overall performance. By optimizing the total power budget to maximize the network throughput, high communication quality is maintained even in the presence of inter-UAV interference.

Flying Ad-Hoc Network (FANET) demonstrates significant practical application value and good results in multi-UAV inter-communication problems.