Abstract

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.

Original languageEnglish
Title of host publicationCENIM 2020 - Proceeding
Subtitle of host publicationInternational Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-296
Number of pages5
ISBN (Electronic)9781728182834
DOIs
Publication statusPublished - 17 Nov 2020
Event2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 - Virtual, Surabaya, Indonesia
Duration: 17 Nov 202018 Nov 2020

Publication series

NameCENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

Conference

Conference2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period17/11/2018/11/20

Keywords

  • Internet of Things
  • Round Time Trip
  • Throughput
  • network monitoring

Fingerprint

Dive into the research topics of 'Internet of Things Based User Oriented Wi-Fi Quality Analyzer'. Together they form a unique fingerprint.

Cite this