Fault Tolerant Routing Strategy for Delay Sensitive Industrial Internet of Things Communication Infrastructures

Abstract: Fault-tolerant routing is crucial for reliable and delay�sensitive communication for Industrial Internet of Things (IIoT) infrastructures where the harsh environments, interference and dynamic network conditions typically degrade Quality of Service (QoS). The main issue that is tackled in this work is the high vulnerability of industrial sensor networks to link failures and congestion, leading to unacceptable delays in mission-critical applications such as predictive maintenance, robotic control, and real-time monitoring. The goal is to create a strategy for fault�tolerant routing, in order to reduce the end-to-end latency and ensure high reliability of packet delivery under different network conditions. The proposed method combines a hybrid approach of combining dynamic link quality estimation, multipath redundancy, and delay-aware adaptive route switching using lightweight distributed decision logic that is appropriate for resource constrained nodes. Simulation results are conducted on a 200-node industrial topology, which show a 27% reduction of
end-to-end delay, a 19% improvement of packet delivery ratio
and a 22% reduction of routing overhead against state-of-the-art protocols such as RPL-OF0, LOADng, and CQRP. These results validate the use of this strategy to enhance the network resilience and timeliness, which supports its use in real-time industrial control environments.These enhancements show that the suggested routing plan can be implemented directly in the IIoT environments that require reliable low latency communications to safeguard safety-critical industry applications like automated production lines, proactive maintenance systems, and real-time robots.
Keywords: Fault-tolerant routing, Industrial Internet of Things (IIoT), delay-sensitive communication, QoS, multipath routing, adaptive route switching, network resilience, real-time applications