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Open AccessArticle

A Smart Microcontroller Architecture for the Internet of Things

by Zhenyu Wu 1,*, Kai Qiu 1 and Jianguo Zhang 2
1
School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2
Ordnance N.C.O. Academy, The Army Engineering University of PLA, Wuhan 430075, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 1821; https://doi.org/10.3390/s20071821
Received: 28 February 2020 / Revised: 23 March 2020 / Accepted: 24 March 2020 / Published: 25 March 2020
(This article belongs to the Special Issue The Impact of Emerging Technologies on Sensor-Based Systems/Solutions)
The interoperations of endpoint devices are generally achieved by gateways in Internet of Things (IoT) systems. However, the gateways mainly focus on networking communication, which is lack of data logic control capabilities. The microcontrollers with embedded intelligence could work as an intermediate device to help the interconnections of the endpoint devices. Moreover, they could help control the endpoint devices. In this paper, a microcontroller architecture with intelligent and scalable characteristics is proposed. The intelligence means that the microcontroller could control the target endpoint devices by its logical circuits, and the scalability means that the microcontroller architecture could be easily extended to deal with more complex problems. Two real world industrial implementations of the proposed architecture are introduced. The implementations show that the microcontroller is important to provide the intelligent services to users in IoT systems. Furthermore, a simulation experiment based on the cloud model is designed to evaluate the proposed method. The experimental results demonstrate the effectiveness of the proposed architecture. View Full-Text
Keywords: smart microcontroller; cloud model; embedded intelligence smart microcontroller; cloud model; embedded intelligence
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Wu, Z.; Qiu, K.; Zhang, J. A Smart Microcontroller Architecture for the Internet of Things. Sensors 2020, 20, 1821.

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