TY - JOUR
T1 - Research on Key Technologies of Smart Campus Teaching Platform Based on 5G Network
AU - Xu, Xin
AU - Li, Dan
AU - Sun, Mengyao
AU - Yang, Shichao
AU - Yu, Shujiang
AU - Manogaran, Gunasekaran
AU - Mastorakis, George
AU - Mavromoustakis, Constandinos X.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - With the development of mobile Internet technology and the popularity of intelligent mobile terminals, the data traffic load of mobile client users on the smart campus network platform has surged. How to reduce the data traffic of the smart campus network platform is an urgent problem to be solved. First, this paper discussed the key technologies of smart campus network teaching platform under the background of the 5G network, expounded the critical technologies of the transport layer of the Internet of Things (IoT) technology, and analyzed from the development perspective of the IoT platform. Second, by investigating the online classroom data of five types of colleges and universities in China and comparing the advantages and disadvantages of online classroom teaching and traditional classroom teaching, it is found that the number of online courses in colleges and universities has exploded in the second half of 2017. Next, this paper analyzed the demand of smart campus online teaching platform under the background of the 5G network, thus established an online teaching platform based on the four initiatives operation model (government-led, college sponsor, teacher subject, and academic director). Finally, this paper adopted the improved VIRE localization algorithm to obtain the specific location information of the student users in the classroom and, then, compared with the error obtained by the VIRE algorithm, and the error of the improved VIRE algorithm is smaller. In the process of obtaining information, the 5G network technology is used for data transmission, which can shorten the check-in time and can improve the positioning accuracy.
AB - With the development of mobile Internet technology and the popularity of intelligent mobile terminals, the data traffic load of mobile client users on the smart campus network platform has surged. How to reduce the data traffic of the smart campus network platform is an urgent problem to be solved. First, this paper discussed the key technologies of smart campus network teaching platform under the background of the 5G network, expounded the critical technologies of the transport layer of the Internet of Things (IoT) technology, and analyzed from the development perspective of the IoT platform. Second, by investigating the online classroom data of five types of colleges and universities in China and comparing the advantages and disadvantages of online classroom teaching and traditional classroom teaching, it is found that the number of online courses in colleges and universities has exploded in the second half of 2017. Next, this paper analyzed the demand of smart campus online teaching platform under the background of the 5G network, thus established an online teaching platform based on the four initiatives operation model (government-led, college sponsor, teacher subject, and academic director). Finally, this paper adopted the improved VIRE localization algorithm to obtain the specific location information of the student users in the classroom and, then, compared with the error obtained by the VIRE algorithm, and the error of the improved VIRE algorithm is smaller. In the process of obtaining information, the 5G network technology is used for data transmission, which can shorten the check-in time and can improve the positioning accuracy.
KW - 5G network
KW - improved VIRE location algorithm
KW - online teaching platform
KW - smart campus
UR - http://www.scopus.com/inward/record.url?scp=85062838493&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2894129
DO - 10.1109/ACCESS.2019.2894129
M3 - Article
AN - SCOPUS:85062838493
SN - 2169-3536
VL - 7
SP - 20664
EP - 20675
JO - IEEE Access
JF - IEEE Access
M1 - 8620955
ER -