Cloud-Assisted Stabilization of Large-Scale Multiagent Systems by Over-the-Air-Fusion of IoT Sensors

Abstract

In this paper, we consider the stabilization of multiagent dynamic systems. We propose a novel cloud-assisted information sharing solution for the mission-critical Internet of Things control applications. In the proposed design, the sensors and controllers communicate with the cloud network using modulation-free transmissions. Via exploiting the additive properties of the physical wireless channels, signal collision, and interference among the agents is utilized for multiagent stabilization by means of information fusion over the air ( AirFuse ). Utilizing the proposed AirFuse mechanism, the cloud provides observation side-information and control side-information efficiently to the sensor and the controller in each agent, respectively, which substantially enhance the stabilization performance of the multiagent dynamic system. Using the Lyapunov drift analysis approach, we further establish closed-form sufficient requirements on the communication resources needed to achieve stabilization of the multiagent dynamic system. Compared with the conventional multiagent dynamic systems without cloud assistance, we explicitly quantify the benefits of the cloud assistance in terms of stability performance and show that the proposed cloud-assisted solution enjoys superior scalability performance with ultra low access latency.