A distributed network-aware TSCH scheduling

TL;DR: In this paper , a distributed TSCH scheduling based on analyzing network behaviour, particularly employing the RPL Trickle algorithm to support dynamic and network-aware scheduling is proposed to support industrial critical applications.

Abstract: The support of critical industrial applications using constrained sensing devices will require deterministic communication technologies, which has motivated the design of TSCH media access control mechanisms. TSCH carefully manages the necessary energy to support deterministic communications while trying to cope with the bandwidth and latency required for the application. Nevertheless, using TSCH to support Industrial critical applications is still challenging since scheduling strategies lack the elasticity to cope with dynamic and error-prone communication environments. Also, scheduling adaptation strategies may be designed to benefit from the information in other layers. We propose a distributed TSCH scheduling based on analysing network behaviour, particularly employing the RPL Trickle algorithm to support dynamic and network-aware scheduling. The proposed strategy contributes to anticipating disturbances and the network’s overall stability. The proposal was evaluated for its performance at the application and MAC layers, and we may observe that it contributes to increasing network efficiency.