Efficient Data Logging for One Wire Protocol Sensor in IoT: A Hardware-in-the-Loop (HIL) Approach

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 5

Year of Publication : 2024

Authors : Patnaikuni Dinkar R. Patnaik, Sachin R. Gengaje

10.14445/23488379/IJEEE-V11I5P106

How to Cite?

Patnaikuni Dinkar R. Patnaik, Sachin R. Gengaje, "Efficient Data Logging for One Wire Protocol Sensor in IoT: A Hardware-in-the-Loop (HIL) Approach," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 5, pp. 53-59, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I5P106

Abstract:

The Internet of Things (IoT) has changed how one uses technology by using many sensors that create large sets of data. The integrity and efficiency of IoT systems are very important for their widespread adoption, and Hardware-in-the-Loop (HIL) testing has emerged as a key tool in nearly achieving this. This research paper offers a brief exploration of HIL testing within the scope of IoT engineering, exploring its practical applications and associated methodologies. This article empirically describes two distinct data processing methods, Method-I and Method-II, providing insights into the adept tradeoff between CPU-intensive algorithms and the efficiency of one-pass processing with Welford’s Algorithm. Additionally, the paper introduces an innovative schema-based approach for sensor data storage using both XML and JSON formats, enabling efficient and versatile data storage and retrieval, particularly when guided by Probability Density Functions (PDFs). While XML’s verbosity and rigidity are acknowledged, the choice of format is contextual and application-specific. Overall, this research advances our understanding of effective data processing and storage in IoT environments while showcasing the potential of schema-driven, PDF-based data storage, reproduction, and schema design.

Keywords:

Hardware-in-the-Loop (HIL) Testing, Sensor data logging and processing, Welford’s algorithm, Running standard deviation and average, Sensor data storage, XML schema, JSON schema, Probability Density Function (PDF), Schema-based data storage, Sensor data reproduction.

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