Embedded Systems for Internet of Things (IoT) Applications: A Review Study

Author(s):  
Jose David Alvarado Moreno ◽  
Luis Carlos Luis Garcia ◽  
Wilder Castellanos Hernandez ◽  
Anlly Milena Barrera Obando
2017 ◽  
Author(s):  
JOSEPH YIU

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:


2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Steve W. Y. Mung ◽  
Cheuk Yin Cheung ◽  
Ka Ming Wu ◽  
Joseph S. M. Yuen

This article presents a simple wideband rectangular antenna in foldable and non-foldable (printed circuit board (PCB)) structures for Internet of Things (IoT) applications. Both are simple structures with two similar rectangular metal planes which cover multiple frequency bands such as GPS, WCDMA/LTE, and 2.4 GHz industrial, scientific, and medical (ISM) bands. This wideband antenna is suitable to integrate into the short- and long-range wireless applications such as the short-range 2.4 GHz ISM band and standard cellular bands. This lowers the overall size of the product as well as the cost in the applications. In this article, the configuration and operation principle are presented as well as its trade-offs on the design parameters. Simulated and experimental results of foldable and non-foldable (PCB) structures show that the antenna is suited for IoT applications.


Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.


2017 ◽  
Vol 4 (6) ◽  
pp. 2058-2069 ◽  
Author(s):  
Poonam Yadav ◽  
Julie A. McCann ◽  
Tiago Pereira

2014 ◽  
Vol 543-547 ◽  
pp. 3411-3414
Author(s):  
Xu Bing

Key core technologies of IOT (internet of things) have to be addressed to achieve rapid development. This paper focused on studying RFID, wireless sensor network (WSN) and TCCP which were integrated to address the IOT application problems. Meanwhile, an IOT architectural model was established and the IOT applications in real-time medical monitoring, intelligent transportation system (ITS), intelligent appliances and intelligent agriculture were introduced.


2019 ◽  
pp. 99-106
Author(s):  
Prakash Ramesh Gadekar ◽  
Avnish Raj Verma ◽  
Virendrakumar A. Dhotre

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