Fault-Tolerant IoT System Using Software-Based "Digital Twin"
Tanish Baranwal, Srihari Varada, Santanu Das, Mohammad R. Haider

TL;DR
This paper introduces a fault-tolerant IoT system that employs software-based digital twins and triplicated sensors to enhance reliability in high-stakes applications, allowing seamless fault management with minimal additional cost.
Contribution
It proposes a novel redundancy scheme combining digital twins and triplicated sensors for fault tolerance in IoT systems, improving reliability without significant cost increase.
Findings
Enhanced fault detection and recovery capabilities.
Increased system reliability with minimal cost impact.
Effective use of digital twins for sensor redundancy.
Abstract
In this article, we present a novel redundancy scheme to realize a fault-tolerant IoT structure for application in high-reliability systems. The proposed fault-tolerant structure uses a centralized data fusion block and triplicated IoT devices, along with software-based "digital twins", that duplicate the function of each of the sensors. In case of a fault in one of the IoT devices, the pertinent digital twin takes over the function of the actual IoT device for some time in the triplicated structure till the faulty device is either replaced or repaired when possible. The use of software-based digital twins as a duplicate for each physical sensor improves the reliability of the operation with minimal increase in the overall system cost.
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Taxonomy
TopicsDigital Transformation in Industry · Advanced Data Processing Techniques · Engineering Education and Technology
