TY - GEN
T1 - Project-Based Network Simulation of Campus Remote Seat Booking System
AU - Welsen, Sherif
AU - Zhang, Minghao
AU - Chu, Yannan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper gives insights on extending a proposed remote seat booking prototype across campus and how to deploy the network sensors and controllers over a wide range based on computer simulations. A typical floor of an actual building at the University of Nottingham Ningbo China was picked to perform the network simulation. That includes a variety of common study rooms, computer rooms, and administrative rooms. The floor is divided into regions and rooms based on a few factors such as the room's nature, size, and function of each region. The simulation of the proposed network is presented and analyzed using different scenarios for different rooms. In each simulation scenario, end-to-end delay, and global MAC throughput were considered to evaluate the network performance. A compromise between those two factors was made to maintain the proposed system, cost-effective, flexible, and maintain power consumption reduction. The findings show that the network design, topology, and the total number of sensor nodes will generally depend on the region or the room size where the network is implemented.
AB - This paper gives insights on extending a proposed remote seat booking prototype across campus and how to deploy the network sensors and controllers over a wide range based on computer simulations. A typical floor of an actual building at the University of Nottingham Ningbo China was picked to perform the network simulation. That includes a variety of common study rooms, computer rooms, and administrative rooms. The floor is divided into regions and rooms based on a few factors such as the room's nature, size, and function of each region. The simulation of the proposed network is presented and analyzed using different scenarios for different rooms. In each simulation scenario, end-to-end delay, and global MAC throughput were considered to evaluate the network performance. A compromise between those two factors was made to maintain the proposed system, cost-effective, flexible, and maintain power consumption reduction. The findings show that the network design, topology, and the total number of sensor nodes will generally depend on the region or the room size where the network is implemented.
KW - Digital Transformation
KW - Educational Technologies
KW - Project-Based
KW - Smart Campus
KW - Wireless Sensor Network Simulation
UR - http://www.scopus.com/inward/record.url?scp=85143072089&partnerID=8YFLogxK
U2 - 10.1109/ICET55642.2022.9944411
DO - 10.1109/ICET55642.2022.9944411
M3 - Conference contribution
AN - SCOPUS:85143072089
T3 - 2022 IEEE 2nd International Conference on Educational Technology, ICET 2022
SP - 120
EP - 124
BT - 2022 IEEE 2nd International Conference on Educational Technology, ICET 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Educational Technology, ICET 2022
Y2 - 25 June 2022 through 27 June 2022
ER -