TY - JOUR
T1 - TACAN
T2 - the Shaping of Delay Distribution under Multi-path Fading Channel for Industrial IoT Systems
AU - Liu, Fangfang
AU - Dai, Xuewu
AU - Jin, Mengran
AU - Zhang, Wuxiong
AU - Yang, Yang
AU - Qin, Fei
N1 - Funding information: This work was supported in part by the National Natural
Science Foundation of China under Grant 62071450 and the Joint Funds under
Grant U21B2002; in part by the National Science and Technology Major Project of China under Grant 2019YFB2101602 and Grant 2020YFB2104300; in part by the Natural Science Foundation of Shanghai with under Grant 19ZR1454100; in part by the Scientific Instrument Developing Project of the Chinese Academy of Sciences with under Grant YJKYYQ20170074; in part by the Fundamental Research Funds for the Central Universities; and in part by the Major Key Project of Peng Cheng noratory under Grant PCL2021A15.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - The wireless-enabled Industrial Internet of Things (IIoT) system is promising due to its flexibility and cable-free deployment. The varying fading channel will lead to the random transmission delays and jitters, which are the major challenges hindering the adoption of wireless communication in mission-critical industrial systems. The performance or even the stability of closed-loop feedback control system will degrade severely with such delays and jitters. As a result, the maximum delay margin should be met to guarantee the performance of the IIoT system. Aiming to better satisfy this requirement, a novel concept to shape the delay distribution under the industrial multipath fading channel is proposed in this article. Consequently, a two-layer closed feedback control algorithm, referred as TACAN in this article, is designed through the decoupling of original optimization function, by which the variance of the delay distribution is minimized to improve the reliability and stability of the IIoT systems. The performance of proposed delay shape control method is verified by both the classical Rician channel model and the field measured industrial fading channel responses.
AB - The wireless-enabled Industrial Internet of Things (IIoT) system is promising due to its flexibility and cable-free deployment. The varying fading channel will lead to the random transmission delays and jitters, which are the major challenges hindering the adoption of wireless communication in mission-critical industrial systems. The performance or even the stability of closed-loop feedback control system will degrade severely with such delays and jitters. As a result, the maximum delay margin should be met to guarantee the performance of the IIoT system. Aiming to better satisfy this requirement, a novel concept to shape the delay distribution under the industrial multipath fading channel is proposed in this article. Consequently, a two-layer closed feedback control algorithm, referred as TACAN in this article, is designed through the decoupling of original optimization function, by which the variance of the delay distribution is minimized to improve the reliability and stability of the IIoT systems. The performance of proposed delay shape control method is verified by both the classical Rician channel model and the field measured industrial fading channel responses.
KW - Closed-loop Feedback Control.
KW - Delays
KW - Distribution Control
KW - Fading channels
KW - Industrial Fading Channel
KW - Industrial Internet of Things
KW - Jitter
KW - Markov Process
KW - Optimization
KW - Power cables
KW - Rician Fading Channel
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=85125296249&partnerID=8YFLogxK
U2 - 10.1109/jiot.2022.3153515
DO - 10.1109/jiot.2022.3153515
M3 - Article
AN - SCOPUS:85125296249
SN - 2327-4662
VL - 9
SP - 16714
EP - 16725
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 17
ER -
