A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0

Ran, Hao; Wu, Chung Kit; Huang, Nen-Fu; Tsang, Kim Fung; Radwan, Ayman

doi:10.1109/tii.2022.3215231

Cited by 86 publications

(16 citation statements)

References 58 publications

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“…In this way, larger coverage areas can be achieved and blind MIMO hand-over among cells implemented. With narrow laser beam-widths, the considered experimental setup is able to provide very high area traffic capacity, beyond the 1 Gbps/m 2 envisioned for 6 G based applications [26], [27].…”

Section: Wdm-over-pof Concepts For Passive Ofe Vlc Systemsmentioning

confidence: 99%

Passive OFE WDM-over-POF Gigabits per Second Performance Comparison of Spatial Diversity and Spatial Multiplexing

Corrêa

Cunha

Linnartz

et al. 2023

J. Lightwave Technol.

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Section: Wdm-over-pof Concepts For Passive Ofe Vlc Systemsmentioning

confidence: 99%

Passive OFE WDM-over-POF Gigabits per Second Performance Comparison of Spatial Diversity and Spatial Multiplexing

Corrêa

Cunha

Linnartz

et al. 2023

J. Lightwave Technol.

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“…Moreover, in environmental applications, IoT is largely dependent on WSNs, where sensors continuously monitor the environment in IoT WSNs and alert the base station immediately if any event is detected, even if there is an emergency alert [3]. Also, in the industry application called Industrial Internet of Things (IIoT), the focus is on network automation processes through proper communication and data collection between sensors, actuators, and processing units [4].…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Modeling for Heterogeneous IoT-WSN Devices: Entire Modes and Operation Cycles Considerations

Portillo,

Martinez-Bauset,

Pla

et al. 2024

Preprint

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Wireless Sensor Network (WSN) and the sensing devices are considered part of the core components of the Internet of Things (IoT). Hence, the modeling of IoT-WSNs is fundamental to having a better understanding, management, and deployment of this kind of technology. A fundamental issue in WSN is energy consumption due to the inherent limitations of this resource in the sensor devices. On the other hand, several issues arise in heterogeneous scenarios due to the coexistence of different sensor devices. Therefore, the modeling process becomes challenging and must consider the different transmission and operation cycles and modes that the transmission protocol implements to assure successful functioning in terms of transmission, synchronization, and energy savings. A duty-cycled MAC WSN protocol (PSA-MAC) has been modeled based on a pair of two-dimensional Discrete-Time Markov Chain (2D-DTMC), whose solution in terms of stationary probability distribution is used by expressions that have been derived to evaluate the energy consumption of sensor devices that could be used for WSN-based IoT applications. Analytical results of average energy consumption are obtained, where the synchronization, data, and sleep periods of a full transmission cycle are considered in a heterogeneous scenario with different node classes and priority assignments. Also, the normal and awake operation cycles are considered to assure synchronization and energy savings. Moreover, the transmission schemes of SPT (transmission of single packets) and APT (transmission of packets in aggregation) are also considered in the model. These results are validated through discrete event-based simulations, and the obtained results are accurate.

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“…In other words, the timeliness of the actuation update should be controlled by the controller in the WNCS. In addition, since the impact of AoI on the actuation update can be different according to the control priorities for the actuators (i.e., robustness of AoI of the actuation update) [ 14 , 15 ], the priority needs to be considered when delivering the actuation update. For example, priority can be defined to classify purposes concerning the criticality or safety level at a particular moment [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Priority-Aware Actuation Update Scheme in Heterogeneous Industrial Networks

Kyung,

Sung,

et al. 2024

Sensors

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In heterogeneous wireless networked control systems (WNCSs), the age of information (AoI) of the actuation update and actuation update cost are important performance metrics. To reduce the monetary cost, the control system can wait for the availability of a WiFi network for the actuator and then conduct the update using a WiFi network in an opportunistic manner, but this leads to an increased AoI of the actuation update. In addition, since there are different AoI requirements according to the control priorities (i.e., robustness of AoI of the actuation update), these need to be considered when delivering the actuation update. To jointly consider the monetary cost and AoI with priority, this paper proposes a priority-aware actuation update scheme (PAUS) where the control system decides whether to deliver or delay the actuation update to the actuator. For the optimal decision, we formulate a Markov decision process model and derive the optimal policy based on Q-learning, which aims to maximize the average reward that implies the balance between the monetary cost and AoI with priority. Simulation results demonstrate that the PAUS outperforms the comparison schemes in terms of the average reward under various settings.

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A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0

Cited by 86 publications

References 58 publications

Passive OFE WDM-over-POF Gigabits per Second Performance Comparison of Spatial Diversity and Spatial Multiplexing

Passive OFE WDM-over-POF Gigabits per Second Performance Comparison of Spatial Diversity and Spatial Multiplexing

Energy Consumption Modeling for Heterogeneous IoT-WSN Devices: Entire Modes and Operation Cycles Considerations

Priority-Aware Actuation Update Scheme in Heterogeneous Industrial Networks

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