Integration of Intelligent Sensors in Embedded Systems
Authors
Department of Physics, Dr. HariSingh Gour Vishwavidyalaya, Sagar (India)
Department of Physics, Dr. HariSingh Gour Vishwavidyalaya, Sagar (India)
Article Information
DOI: 10.51584/IJRIAS.2025.1010000040
Subject Category: Physics
Volume/Issue: 10/10 | Page No: 521-527
Publication Timeline
Submitted: 2025-10-09
Accepted: 2025-10-17
Published: 2025-11-03
Abstract
Integrating intelligent1 sensors in embedded systems2 has revolutionized various industries by enhancing automation, efficiency, and real-time decision-making3 capabilities. This paper explores the development and implementation of intelligent sensors within embedded systems, highlighting their architecture, functionality, and benefits. Smart sensors, equipped with advanced data processing and communication abilities, facilitate critical information collection, analysis, and transmission, enabling embedded systems to operate with higher precision and autonomy. The discussion includes the design considerations for embedding intelligent sensors, the role of machine learning algorithms in sensor data interpretation, and the challenges associated with power consumption, data security4, and system integration. Case studies across diverse applications such as industrial automation, healthcare monitoring, and environmental sensing illustrate the transformative impact of intelligent sensors. The findings underscore the potential of these technologies to drive innovation in embedded systems, paving the way for smarter, more adaptive, and more efficient solutions.
Keywords
Intelligent sensors, Embedded Systems, real-time decision-making, data security.
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References
1. Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., & Leung, V. (2011). "Body Area Networks: A Survey." Mobile Networks and Applications, 16(2), 171–193. [Google Scholar] [Crossref]
2. Yick, J., Mukherjee, B., & Ghosal, D. (2008). "Wireless Sensor Network Survey." Computer Networks, 52(12), 2292–2330. [Google Scholar] [Crossref]
3. Zubair, M., et al. (2022). "Machine Learning for Intelligent Sensor Applications: A Review." Sensors, 22(2), 470. [Google Scholar] [Crossref]
4. Dey, N., Ashour, A. S., & Bhatt, C. (2018). "Internet of Things and Big Data Analytics Toward Next-Generation Intelligence." Springer. [Google Scholar] [Crossref]
5. Göktürk, D., & Ergen, S. C. (2020). "A Secure Embedded Sensor System for Industrial Applications." Security and Communication Networks, Volume 2020, Article ID 9643859. [Google Scholar] [Crossref]
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