Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT

The concurrent availability of power-line communication, cellular and other wireless technologies, and the rapid development of concepts like multi-mode power internet of things (PIoT) and digital twin (DT) have made intelligent energy control a reality. However, information timeliness guarantee which determines DT consistency and energy control degradation is still an unsolved issue, as recent studies mainly focus on time-averaged guarantee and ignore the occurrence of extreme events. In this paper, we propose a novel metric named ultra-low age of information (ULAoI), which imposes more stringent constraints on extreme event occurrence probability and high-order statistics characteristics of excess AoI value. Moreover, we minimize energy control performance degradation by optimizing communication control, which acts as the bridge connecting information collection and utilization. A joint device scheduling and multi-mode channel allocation algorithm based on ULAoI-prioritized learning is proposed to achieve communication and control integration. Simulation results verify that the proposed algorithm can significantly reduce energy control performance degradation and achieve ULAoI guarantee.