A Dual Control Approach for Indirect Configuration Propagation with Energy-Efficient Scheduling in Multi-agent Networking Systems

Abstract

This paper presents a dual control approach for indirect system configuration propagation with energy-efficient agent scheduling. The proposed method influences the MNS (Multi-agent Networking Systems) operation by indirectly propagating the system configuration within the framework of local rules. Also, the proposed method adapts agent’s operational state according to the convergence rate of configuration propagation in order to balance energy consumption among agents in the MNS. Finally, we propose an optimal timing control for sequent input. Using the operation state control model, the gateway agent determines the optimal timing to give next input based on the value of the operation state. Simulation results are performed to demonstrate the superiority of the proposed method and we observe that the proposed scheme is less susceptible to error and shows more robust performance than the consensus method in an error-prone environment.