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