Developments in the Design of MicrocontrollerBased Embedded Systems
Abstract
Microcontroller-based embedded systems are ubiquitous, underpinning a wide range of applications from consumer electronics to industrial automation. This review article explores the current trends, technologicaladvancements, and future directions in microcontroller-based embedded system design. It covers various aspects such as hardware advancements,
software development techniques, power management, connectivity, and security. Additionally, the article discusses the challenges and opportunities that lie ahead in the field. With the rapid evolution of technologies such as Internet of Things (IoT), artificial intelligence (AI), and edge computing, the design and implementation of embedded systems have become more complex yet more powerful. The article also highlights the growing importance of sustainability and the need for energy-efficient designs. By synthesizing recent research and industry developments, this review provides a comprehensive overview of the current state and future prospects of microcontroller-based embedded systems.
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Unsupervised Instance Matching and its Application to Linked Data of Power Plants”.
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artificial intelligence of things. IEEE Internet of Things Journal. 2020 Nov 19;8(10):7789-817.
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12. Cho J. Efficient Autonomous Defense System Using Machine Learning on Edge Device. Computers,
Materials & Continua. 2022 Feb 1;70(2).
13. Wei L, Yang Y, Wu J, Long C, Li B. Trust management for internet of things: A comprehensive study. IEEE
Internet of Things Journal. 2022 Jan 3;9(10):7664-79.
14. Mahapatra SN, Singh BK, Kumar V. A survey on secure transmission in internet of things: taxonomy, recent
techniques, research requirements, and challenges. Arabian Journal for Science and Engineering. 2020
Aug;45(8):6211-40.
15. Attarian R, Mohammadi E, Wang T, Beni EH. Mixflow: Assessing mixnets anonymity with contrastive
architectures and semantic network information. Cryptology ePrint Archive. 2023.
16. Chen Y, Zheng B, Zhang Z, Wang Q, Shen C, Zhang Q. Deep learning on mobile and embedded devices:
State-of-the-art, challenges, and future directions. ACM Computing Surveys (CSUR). 2020 Aug 20;53(4):1-37.
17. Sarjan H, Ameli A, Ghafouri M. Cyber-security of industrial internet of things in electric power systems.
IEEE Access. 2022 Aug 29;10:92390-409.
18. De Micco L, Vargas FL, Fierens PI. A literature review on embedded systems. IEEE Latin America Transactions.
2019 Feb;18(02):188-205.
19. Arfaoui G, Gharout S, Traoré J. Trusted execution environments: A look under the hood. In2014 2nd IEEE
international conference on mobile cloud computing, services, and Engineering 2014 Apr 8 (pp. 259-266).
IEEE.
20. Xenofontos C, Zografopoulos I, Konstantinou C, Jolfaei A, Khan MK, Choo KK. Consumer, commercial, and
industrial iot (in) security: Attack taxonomy and case studies. IEEE Internet of Things Journal. 2021 May
13;9(1):199-221.
Published
2024-06-12
How to Cite
SINHA, Tanu.
Developments in the Design of MicrocontrollerBased Embedded Systems.
Journal of Advanced Research in Embedded System, [S.l.], v. 11, n. 1, p. 11-17, june 2024.
ISSN 2395-3802.
Available at: <http://thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/1301>. Date accessed: 01 feb. 2025.
Section
Review Article
