Abstract

UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a certain extent. However, how to measure the changes of UAV swarm’s performance during this process will be very important, and it is also crucial to determine whether the UAVs can continue to perform its mission. Based on this motivation, we propose a resilience assessment framework for UAV swarm considering load balancing after UAV swarm suffer from disturbances. We analyze the effects of different topologies and different parameters on the resilience of UAV swarm. The study found that attack intensity is the most important factor affecting UAV swarm performance. As the attack intensity increases, the performance of the UAV swarm decreases rapidly. At the same time, topology also has a very important impact on UAV swarm resilience.

Highlights

  • The extensive use of unmanned aerial vehicles (UAV) improves the convenience of mission execution and reduces the cost of completing missions

  • The UAV itself or its communication is often subjected to random interference or malicious attacks, which causes the UAV to fail or to interrupt the communication

  • When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a certain extent

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Summary

INTRODUCTION

The extensive use of unmanned aerial vehicles (UAV) improves the convenience of mission execution and reduces the cost of completing missions. Sometimes failed nodes and links can be repaired, the mission fails due to the inability to assess the degree of UAV recovery Under this condition, historical fault data cannot help people improve the performance of UAV swarms. In order to improve the success rate of UAV swarm mission execution, in traditional methods, it is necessary to improve the robustness of UAV components to reduce the failure rate of nodes or increase redundant nodes or links (as described in the previous section). It will increase the cost of UAV swarms, which is undesirable.

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