We study the joint optimization of timeliness and reliability in semantics-aware Wireless Networked Control Systems (WNCS) under computation resource constraints. The sampled data are categorized into regular and critical tasks based on the semantic states, facilitating differentiated resource allocation. Task-aware Age of Actuation (AoA) and Cost of Missing Actuation (CoMA), are used to characterize the task-level freshness and the reliability penalty of missed actuations, respectively. By modeling the controller as a discrete-time multi-rate Geo/D/C/C queue, we evaluate the performance of regular and critical tasks, the latter imposing higher computational demands. Results confirm that differentiated resource allocation across heterogeneous tasks effectively guarantees the actuation reliability of critical tasks in severely constrained environments.

翻译：我们研究了计算资源约束下语义感知无线网络控制系统（WNCS）中时效性与可靠性的联合优化问题。基于语义状态，将采样数据划分为常规任务与关键任务，从而支持差异化资源分配。采用任务感知驱动时效（AoA）与缺失驱动代价（CoMA）分别表征任务级新鲜度与驱动缺失的可靠性惩罚。通过将控制器建模为离散时间多速率Geo/D/C/C排队系统，我们评估了常规任务与关键任务的性能，其中后者对计算资源的需求更高。结果证实，在严苛资源受限环境中，异构任务间的差异化资源分配能有效保障关键任务的驱动可靠性。