Critical Internet of Things: An Interworking Solution to Improve Service Reliability MCC is essential for public safety, service efficiency improvement, and economic growth sustainability. MCC services demand an extremely fast response rate. On the other hand, the tremendous growth of IoT and AI are vital elements to allow MCC developments to flourish. In this article, CIoT is newly defined to include standards and facilitate emerging IoT solutions to be adopted for critical services. The service reliability in CIoT embraces IoT and AI, and measures resilience and availability of automation. Two important IoT standards, namely IEEE 1451 and IEEE P2668, are incorporated to standardize the performance of smart transducers and facilitate the evaluation of IoT maturity, respectively. In addition, an interworking solution of CIoT is designed to establish a heterogeneous network that comprises multiple IoT networks, such as 5G and LPWANs. The interworking solution renders the CIoT smart and enhances service resilience. Attention is drawn to the fact that most emerging IoT protocols do not comply with the lowlatency requirement of MCC. In this article, a communication prioritization scheme incorporating CL and SL is proposed to overcome the highlighted challenge. Finally, the challenges and future development trends of CIoT are presented.

Optimized Scheduling for TimeCritical Industrial IoT The main requirement of Industrial Internet of Things (IIoT) is reliability with a targeted reliability of above 99.999%. Then come latency and energyefficiency requirements. The next step for the IIoT is to target timecritical applications. Even if IIoT technologies are now adopted worldwide, challenges remain and some of the limits of the technologies are still not fully understood. In this paper, we address TSCHbased (Time Slotted Channel Hopping) Wireless Sensor Networks and study their latency and lifetime limits under realworld conditions. We compute theoretical bounds on the endtoend latency in a perfect radio environment and then in real deployments with unreliable links. We compare the performance of different scheduling algorithms and evaluate the impact of unreliable links on endtoend latency and network lifetime, by means of simulations using traces collected from real deployed TSCH networks.