A Distributed WeightBased TDMA Scheduling Algorithm for Latency Improvement in IoT The Internet of Things (IoT) and the Wireless Sensor Networks (WSNs) attract attention of the research communities due to their rapid and promising development. These paradigms have been predicted to play a leading role in our daily life in the near future. The limited resources and the restricted number of communication channels in these networks create new challenges especially in collision and access conflicts. To bring appropriate solutions for these problems, several works, in the literature, focus on centralized and distributed approaches. Traditional distributed protocols assume that the MAC and Routing layers act independently. Moreover, the dynamic topology and the central point of failure restrict the development of centralized techniques. In this paper, we present a distributed weightbased TDMAMAC scheduling algorithm (WBDTSA). The proposed solution takes advantage of routing information to improve the communication latency and the schedule length. Simulation results show better performance, in comparison to similar distributed channel assignment approaches. The latency is improved by 47% and the schedule length is reduced by 23%.

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.