Prediction of QoS Outage Probability for Wireless Communication in Factory Environments

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

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ124-129
ページ数6
ISBN(電子版)9781728151847
DOI
出版ステータスPublished - 2019 12月
外部発表はい
イベント2019 International Conference on Internet of Things, Embedded Systems and Communications, IINTEC 2019 - Gammarth, Tunisia
継続期間: 2019 12月 202019 12月 22

出版物シリーズ

名前2019 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
国/地域Tunisia
CityGammarth
Period19/12/2019/12/22

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 安全性、リスク、信頼性、品質管理
  • 器械工学
  • 人工知能
  • コンピュータ ネットワークおよび通信

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