The existing multi-agent network researches ignore the matching between qualities of local networks and the requirements of regional tasks, which influences task completion efficiency and quality. In view of this, this paper proposed a network connectivity quality control method based on matching task requirement. Firstly, this method analyzed the intermittent connectivity of multi-agent network by using states of agents. Secondly, it constructed a subnet set based on leader-follower model to execute tasks, according to the requirements of tasks and the intermittent connectivity of network, and it further evaluated the connectivity quality of the subnet set. Finally, this method designed a multi-agent mobility optimization model based on network connectivity quality, in which the maximum connectivity quality of subnet set represented to the network connectivity quality. Under the constraints of agent's mobile distance and network connectivity quality, this model obtained multi-agent mobility strategy with optimal task completion rate. Experimental results verify that the proposed method can effectively control the network connectivity quality, maintain the task completion rate and improve the mobile utility of agents.

[2023-04-21] Accepted Paper /doc/2023.02.0042/v1

[2023-10-05] Printed Article /doc/2023.02.0042/v2