Modeling and analysis of industrial IoT reliability to cascade failures: An information-service coupling perspective

Fu, Xiuwen; Li, Qing; Li, Wenfeng

doi:10.1016/j.ress.2023.109517

Cited by 17 publications

(2 citation statements)

References 34 publications

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“…In the future, RSSI can be implemented for real-time localization, and programmable reference bias currents can be used for the rectifiers to control the tradeoff between the dynamic range and detection sensitivity. The RSSI system can also be used for cybersecurity pur-poses in wireless sensor networks for node authentication, localization, anomaly detection, jamming detection, attacks on the physical layer, and energy-efficient security [22,23].…”

Section: Discussionmentioning

confidence: 99%

Linear-in-dB Logarithmic Signal Strength Sensor Circuit for Wireless Power Transfer Receivers

Quadir,

Alawar,

Albasha

et al. 2023

Energies

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Tracking systems for wireless power transfer are becoming a necessity. The received target signals are sometimes weak, which is why it is critical to have a dedicated received–signal–strength indicator (RSSI) for signal detection. It can also be used for transmitter localization and automatic gain control (AGC) to ensure continuous coverage. In this paper, a logarithmic detector coupled with a high-speed full-wave rectifier is designed for an RSSI system. The aim is to place the RSSI on the receiver side of unmanned aerial vehicles used, for example, as agricultural drones. This system is intended to operate in a scenario where multiple drones in a smart farm are charged wirelessly whilst airborne. An RSSI is placed in the receiver to detect and track wireless signals and to ensure the drone is charged while in motion. The RSSI system operates at 5.8 GHz, reported for the first time, and is capable of detecting signal strengths from −60 dBm to 0 dBm with a sensitivity level of 17 mV/dBm. A logarithmic error of 0.4 dB with a dynamic range of 34 dB was achieved. The proposed RSSI system was designed using 65 nm TSMC CMOS technology, and it exhibits high sensitivity, better efficiency, and lower power consumption than those in other reported works.

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Section: Discussionmentioning

confidence: 99%

Linear-in-dB Logarithmic Signal Strength Sensor Circuit for Wireless Power Transfer Receivers

Quadir,

Alawar,

Albasha

et al. 2023

Energies

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“…To build an efficient sea-rail automated container terminal (SRACT), in addition to solving the problem of industrial IoT [11][12][13], there is also a need to solve the problem of coordinated scheduling of multiple equipment between the two sides. In a SRACT, the interface between the yard crane (YC) and the quay crane (QC) within the terminal is not the only consideration; it also involves coupling with the railway track crane.…”

Section: Introductionmentioning

confidence: 99%

Research on the Multi-Equipment Cooperative Scheduling Method of Sea-Rail Automated Container Terminals under the Loading and Unloading Mode

Yang,

Sun,

et al. 2023

JMSE

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A sea-rail automated container terminal (SRACT) plays a crucial role in the global logistics network, combining the benefits of sea and railway transportation. However, addressing the challenges of multi-equipment cooperative scheduling in terminal and railway operation areas is essential to ensure efficient container transportation. For the first time, this study addresses the cooperative scheduling challenges among railway gantry cranes, yard cranes, and automated guided vehicles (AGVs) under the loading and unloading mode in SRACTs, ensuring efficient container transportation. This requires the development of a practical scheduling model and algorithm. In this study, a mixed integer programming model was established for the first time to study the multi-equipment cooperative scheduling problem of a SRACT under the loading and unloading mode. A self-adaptive chaotic genetic algorithm was designed to solve the model, and the practicability and effectiveness of the model and algorithm were verified by simulation experiments. Furthermore, this study also proposes an AGV number adjustment strategy to accommodate changes in vessel arrival delays and train container types. Simulation experiments demonstrated that this strategy significantly reduces loading and unloading time, decreases equipment energy consumption, and improves the utilization rate of AGVs. This research provides valuable guidance for ongoing SRACT projects and advances and methodological approaches in multi-equipment co-operative scheduling for such terminals.

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Rb-based: link prediction based on the resource broadcast of nodes for complex networks

Liu,

Yao,

2024

Evol. Intel.

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Modeling and analysis of industrial IoT reliability to cascade failures: An information-service coupling perspective

Cited by 17 publications

References 34 publications

Linear-in-dB Logarithmic Signal Strength Sensor Circuit for Wireless Power Transfer Receivers

Linear-in-dB Logarithmic Signal Strength Sensor Circuit for Wireless Power Transfer Receivers

Research on the Multi-Equipment Cooperative Scheduling Method of Sea-Rail Automated Container Terminals under the Loading and Unloading Mode

Rb-based: link prediction based on the resource broadcast of nodes for complex networks

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