Driven by the development goal of network paradigm and demand for various functions in the sixth-generation (6G) mission-critical Internet-of-Things (MC-IoT), we foresee a goal-oriented integration of sensing, communication, computing, and control (GIS3C) in this paper. We first provide an overview of the tasks, requirements, and challenges of MC-IoT. Then we introduce an end-to-end GIS3C architecture, in which goal-oriented communication is leveraged to bridge and empower sensing, communication, control, and computing functionalities. By revealing the interplay among multiple subsystems in terms of key performance indicators and parameters, this paper introduces unified metrics, i.e., task completion effectiveness and cost, to facilitate S3C co-design in MC-IoT. The preliminary results demonstrate the benefits of GIS3C in improving task completion effectiveness while reducing costs. We also identify and highlight the gaps and challenges in applying GIS3C in the future 6G networks.

翻译：受第六代（6G）任务关键型物联网（MC-IoT）的网络范式发展目标及多样化功能需求驱动，本文提出了一种面向目标的感知、通信、计算与控制集成方案（GIS3C）。首先概述了MC-IoT的任务、需求与挑战，进而引入端到端GIS3C架构，其中通过目标导向通信桥接并赋能感知、通信、控制与计算功能。通过揭示多子系统在关键性能指标与参数层面的交互机理，本文提出了统一度量指标（即任务完成效能与成本），以促进MC-IoT中S3C的协同设计。初步结果验证了GIS3C在提升任务完成效能的同时降低成本的潜力。此外，本文识别并强调了在未来6G网络中应用GIS3C所面临的空白与挑战。