| Title |
Internet of Things: learning and practices. Application to Smart City |
| ID_Doc |
40552 |
| Authors |
Debauche, O; Mahmoudi, S; Mahmoudi, SA |
| Title |
Internet of Things: learning and practices. Application to Smart City |
| Year |
2018 |
| Published |
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| DOI |
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| Abstract |
Internet of things ( IoT) is a massively growing industry in todays times. In fact, more and more devices able to interact together have been recently designed and launched in the market. All the objects that we use in our daily lives are becoming smarter. Everybody agrees that the education has been dramatically changed by the internet over the past few years. Therefore, learning Internet of Things technologies is becoming unavoidable in education. It makes possible for the learners to gain knowledge from anywhere at any time. It allows students and teachers to stay connected with different means, checking messages and upcoming events. IoT can be considered as a new method for managing the teaching environment with advanced tools and establish a rapid communication between the students and teachers in the classroom. Most educators agree that it plays a crucial role in changing the educational landscape. While teachers and instructors away from the classroom, still interact with their students and even replying to posts. In this paper, we propose a practical approach allowing to progressively learn, by practice the essential concepts of Internet of Things applied to Smart Cities. From basic knowledge of python language and the use of microcontrollers Pycom such as LoPy, students can develop skills and also smart applications in the field of Internet of Things. We are interested, throughout this manuscript, to teach it to the scientific community and provide experiments on how to build architectures wherein at each layer lies a plethora of devices and services communicating to make an integrated solution. This can be a good start in the right direction and move further up the aisle to open up a new research area. |
| Author Keywords |
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| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000474738600007 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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