A Topology Reconfiguration Algorithm for Cross-Domain Multi-System Measurement and Control Network Based on Minimum Connectivity

Multi-network integration represents the future trend in measurement, control and communication. To provide optimal service, it is significant to study the network topology strategy of heterogeneous nodes. However, the mobility and node damage and failures caused by interference pose a huge challenge in reconfiguring the topology to ensure network performance. To address this issue, this paper proposes a topology reconfiguration algorithm based on minimum connectivity for a cross-domain multi-system measurement and control network, which integrates air, ground, and sea. This algorithm designs an optimal topology reconfiguration strategy considering connectivity, energy consumption, and position accuracy, and constructs a reliable measurement and control system. Meanwhile, by implementing the improved simulated annealing optimization, a robust measurement and control network topology can be obtained. Theoretical analysis and simulation results demonstrate that this algorithm can effectively resist external interference and ensure positioning accuracy, proved to be feasible and effective compared to the Global K-connected Energy-aware Topology-control Algorithm (GKETA) and greedy algorithm.