TY - GEN
T1 - Internet of Things Based User Oriented Wi-Fi Quality Analyzer
AU - Shiddiqi, Ary Mazharuddin
AU - Ijtihadie, Royyana Muslim
AU - Haq, Muhammad Iqbal Izzul
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - Manually monitoring and analyzing a computer network can be prone to errors due to human factors. A more reliable method is required to minimize errors and increase network analysis accuracy. One way to overcome the problem is to use an autonomous system that can periodically perform the tasks with high reliability. We propose a network monitoring system using the Internet of Things (IoT). We use the IoT to retrieve the current data from network devices. We observe the Round-Trip time (RRT), and the throughput of wi-fi in a network and send it to a database for analysis purposes. This way, we can perform real-Time analysis in a real time fashion. The challenge is to assure the acquired data by the IoT is actual and accurate for the analysis. Experimental results indicate that our method effectively monitors the current condition of wi-fi devices in a network.
AB - Manually monitoring and analyzing a computer network can be prone to errors due to human factors. A more reliable method is required to minimize errors and increase network analysis accuracy. One way to overcome the problem is to use an autonomous system that can periodically perform the tasks with high reliability. We propose a network monitoring system using the Internet of Things (IoT). We use the IoT to retrieve the current data from network devices. We observe the Round-Trip time (RRT), and the throughput of wi-fi in a network and send it to a database for analysis purposes. This way, we can perform real-Time analysis in a real time fashion. The challenge is to assure the acquired data by the IoT is actual and accurate for the analysis. Experimental results indicate that our method effectively monitors the current condition of wi-fi devices in a network.
KW - Internet of Things
KW - Round Time Trip
KW - Throughput
KW - network monitoring
UR - http://www.scopus.com/inward/record.url?scp=85099658554&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9297999
DO - 10.1109/CENIM51130.2020.9297999
M3 - Conference contribution
AN - SCOPUS:85099658554
T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
SP - 292
EP - 296
BT - CENIM 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -