基于子网融合的多智能体系统 自组网连通性恢复方法.

It is challenging to quickly restore full connectivity in a damaged multi-agent self-organizing network while maintaining the residual connectivity structure. Therefore, this paper proposed a connectivity restoring method based on subnet fusion for self-organized networks in multi-agent systems. Firstly, the method designed a subnet partition algorithm based on network fault detection, to identify faulty nodes and subnet fragmentation in the system. Secondly, the method deployed a leaderfollower mobility model within each subnet to maintain the residual network connectivity. Finally, the method designed a reinforcement learning-based subnet fusion algorithm for leader election, where elected leaders periodically according to a reward function related to mobility distance and energy consumption, being responsible for guiding their followers to move for fusion between subnets. The experimental results show that this method reduces average restoration time by 11.3% and decreases energy consumption by 10.58%, demonstrating its advantages in efficiency and energy usage. [ABSTRACT FROM AUTHOR]