The Optimal Path of College Art Teaching Based on Embedded Sensor Network | Zendy

Yumei Li | Zendy; Jiang Zhu | Zendy

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The Optimal Path of College Art Teaching Based on Embedded Sensor Network

Author(s) -

Yumei Li,

Jiang Zhu

Publication year - 2022

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2022/1937259

Subject(s) - computer science , wireless sensor network , path (computing) , enthusiasm , routing (electronic design automation) , computer network , protocol (science) , routing protocol , multimedia , medicine , psychology , social psychology , alternative medicine , pathology

As a new type of intelligent network technology, sensor network has been widely used in recent years. This paper is aimed at studying the optimization path of art teaching in colleges and universities based on embedded sensor network, proposing methods such as ZigBee network, HRPTC, wireless routing protocol, and sensor technology, and carrying out experimental research on the application of embedded sensor network in the optimization path of college art teaching. The experimental results show that the embedded sensor network can promote well the development of the optimization path of art teaching in colleges and universities and promote the reform of art education teaching methods. At the same time, the education and teaching methods optimized based on sensor network technology can better play the role of education and teaching so that students’ learning enthusiasm has been improved by at least 10%.

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