LP-OPTIMA: A Framework for Prescriptive Maintenance and Optimization of IoT Resources for Low-Power Embedded Systems

Abstract

Low-power embedded systems have been widely used in a variety of applications, allowing devices to efficiently collect and exchange data while minimizing energy consumption. However, the lack of extensive maintenance procedures designed specifically for low-power systems, coupled with constraints on anticipating faults and monitoring capacities, presents notable difficulties and intricacies in identifying failures and customized reaction mechanisms. The proposed approach seeks to address the gaps in current resource management frameworks and maintenance protocols for low-power embedded systems. Furthermore, this paper offers a trilateral framework that provides periodic prescriptions to stakeholders, a periodic control mechanism for automated actions and messages to prevent breakdowns, and a backup AI malfunction detection module to prevent the system from accessing any stress points. To evaluate the AI malfunction detection module approach, three novel autonomous embedded systems based on different ARM Cortex cores have been specifically designed and developed. Real-life results obtained from the testing of the proposed AI malfunction detection module in the developed embedded systems demonstrated outstanding performance, with metrics consistently exceeding 98%. This affirms the efficacy and reliability of the developed approach in enhancing the fault tolerance and maintenance capabilities of low-power embedded systems.

Robust Embedded PID Control Software Execution Based on Automatic Malfunction Profile Feedback

“…Furthermore, methods such as analyzing power waveforms according to operational modes to detect malfunctions, and using machine learning to recover sensors that malfunction are also being researched to enhance the reliability of systems [6,21]. Furthermore, it is crucial to research prediction algorithms and systems for the maintenance of embedded systems, applying them to efficiently manage systems at low cost and low voltage [22,23]. Therefore, it is absolutely necessary to research technical countermeasures for error detection and recovery in the hardware aspect of embedded systems as a proposed system of Figure 1 and complementary error countermeasures of the additional software and the hardware through continuous research [24,25].…”