WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 22, 2025
Optimizing Industrial Automation with IOt-enabled MEMS Devices for Smart Sensing and Actuation
Authors: , , , , , , ,
Abstract: The research aims to understand how sensors work and collect, process, and integrate data into IoT systems in various application areas. It has the purpose of describing the performance of sensors and communication methods, as well as possible options for integrating with the IoT, providing recommendations to achieve better system efficiency and dependability. By conducting broad-based simulations and analysis of monitored parameters, the research demonstrates the dynamic nature of monitored parameters thus underlining the need for smart sensor selection and incorporation of sound data management strategies. Using diagrams helps in identifying signature patterns within the given data, trends, oddities, and even patterns. The work seeks to determine the factors that influence the choice of MEMS sensors, using weighted score analysis to provide a recommendation on selection criteria depending on the application of the sensors. Comparisons between communication protocols and choices of IoT connection also show that MQTT is a reliable and very low overhead protocol of communication while HTTP is faster and very compatible. IoT connectivity choices are mostly evaluated about their ability to fit various application environments. Finally, the paper also emphasizes the need for a sound approach to data management, and advanced analysis methods for obtaining valuable knowledge. In summary, this research enriches the understanding of IoT-streamed automated environments and provides implementation tips potentially useful in producing effective, resource-conservative, and human-centered IoT-enabled autopilot systems in diverse fields.
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Keywords: Sensor Data Analysis, IoT-enabled Automation Systems, MEMS Sensor Selection, Communication Protocols, Data Management Techniques
Pages: 395-417
DOI: 10.37394/23209.2025.22.33