Prediction of QoS Outage Probability for Wireless Communication in Factory Environments

Norisato Suga, Kazuto Yano, Julian Webber, Yafei Hou, Toshihide Higashimori, Yoshinori Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In manufacturing and logistics, various applications exploiting IoT devices are started to be used. Although there is a demand for wireless connection between the IoT devices to networks, obstacles such as radio frequency interference, multipath-rich propagation, and movement of objects make communication unstable. The instability can cause a system failure of IoT applications. Since the QoS outage does not occur frequently in actual systems, the training of QoS outage events may be insufficient to accurately predict future QoS values. Therefore, we propose a method to estimate QoS outage probability from the predicted future QoS, distribution of prediction error, and required QoS. The proposed method can achieve high estimation accuracy by obtaining and using different error distributions according to the rarity of the observed sequence. Simulation results based on a theoretical throughput analysis of wireless LAN show that the proposed method can appropriately predict the QoS outage probability.

Original languageEnglish
Title of host publication2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-129
Number of pages6
ISBN (Electronic)9781728151847
DOIs
Publication statusPublished - Dec 2019
Event2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Gammarth, Tunisia
Duration: Dec 20 2019Dec 22 2019

Publication series

Name2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Proceedings

Conference

Conference2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019
CountryTunisia
CityGammarth
Period12/20/1912/22/19

Keywords

  • probabilistic neural network
  • probability prediction
  • QoS outage
  • smart factory

ASJC Scopus subject areas

  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Suga, N., Yano, K., Webber, J., Hou, Y., Higashimori, T., & Suzuki, Y. (2019). Prediction of QoS Outage Probability for Wireless Communication in Factory Environments. In 2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Proceedings (pp. 124-129). [9112098] (2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IINTEC48298.2019.9112098