MTSCH: MILP-Based Mobility-Aware TSCH Networks for IIoT

Abstract

The industrial Internet of Things(IIoT) introduced robots, drones, and autonomous vehicles to facilitate real-time data collection and monitoring in industrial applications. The IEEE802.4.15e Time Slotted Channel Hopping(TSCH) protocol is proposed for industrial applications to address the strict requirements, such as reliability and deterministic communication. Although TSCH offers reliable and deterministic communication for such environments, its lack of adaptability to dynamic environments and mobility of entities motivates to address these issues. To address these gaps, a Mixed Integer Linear Programming (MILP)-based mobility-aware TSCH networks for IIoT (MTSCH) is introduced by employing an MILP model to optimize the strategic placement of static nodes at the boundary of the network deployment area and coverage area and mobility trajectories. The evaluation of the experiment’s results indicates that MTSCH achieves better results relative to the results of baseline approaches like TSCH and Forte across different performance metrics. MTSCH achieves an 84% connectivity, an improved coverage of 87%, and a jointime reduction by 1 s. It also scores the lowest delay of 91.1 s with consistence confidence interval. As per the results, MTSCH can be suggested for industrial use cases that employ mobile nodes in a TSCH network for IIoT.