The Research of Traffic Flow Assignment Model based on the Network Calculus of Computer Network

Peng, Yali; Fan, Wei; Liu, Jiayao; Zhang, Fan

doi:10.3923/itj.2012.307.312

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…In the hybrid scheme with m (m ≥ 1) independent transmission paths, for the arrival traffic, we assume that the substream A i (s, t) given in (13). Furthermore, we denoted by…”

Section: Delay Bound For the Hybrid Schemementioning

confidence: 99%

Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification?

Yang

Xiao

Poor

2018

IEEE Trans. Commun.

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Low latency is critical for many applications in wireless communications, e.g., vehicle-to-vehicle (V2V), multimedia, and industrial control networks. Meanwhile, for the capability of providing multi-gigabits per second (Gbps) rates, millimeter-wave (mm-wave) communication has attracted substantial research interest recently. This paper investigates two strategies to reduce the communication delay in future wireless networks: traffic dispersion and network densification. A hybrid scheme that combines these two strategies is also considered. The probabilistic delay and effective capacity are used to evaluate performance. For probabilistic delay, the violation probability of delay, i.e., the probability that the delay exceeds a given tolerance level, is characterized in terms of upper bounds, which are derived by applying stochastic network calculus theory. In addition, to characterize the maximum affordable arrival traffic for mmwave systems, the effective capacity, i.e., the service capability with a given quality-of-service (QoS) requirement, is studied. The derived bounds on the probabilistic delay and effective capacity are validated through simulations. These numerical results show that, for a given sum power budget, traffic dispersion, network densification, and the hybrid scheme exhibit different potentials to reduce the end-to-end communication delay. For instance, traffic dispersion outperforms network densification when high sum power budget and arrival rate are given, while it could be the worst option, otherwise. Furthermore, it is revealed that, increasing the number of independent paths and/or relay density is always beneficial, while the performance gain is related to the arrival rate and sum power, jointly. Therefore, a proper transmission scheme should be selected to optimize the delay performance, according to the given conditions on arrival traffic and system service capability.• It is demonstrated that, traffic dispersion, network densification and the hybrid scheme have respective advantages, and resulting end-to-end delay performance depends on the sum power budget and the density of data traffic (e.g., average arrival rate). For instance, when the given sum power is large, traffic dispersion, the hybrid scheme, and network densification are suitable for the scenarios with heavy, medium, and light arrival traffic, respectively. However, when the given sum power is small, the corresponding strengths of above three schemes significantly change with respect to arrival traffic. These observations provide interesting insights for mm-wave network designs and implementations. That is, the transmission scheme for low-latency performance should be properly selected according to the density of arrival traffic and/or the feasible system gain. The remainder of this paper is outlined as follows. In Sec. II, preliminaries for MGF-based stochastic network calculus are provided. In Sec. III, we give system models for traffic dispersion, network densification, and the hybrid scheme, respectively, and present ...

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“…In the hybrid scheme with m (m ≥ 1) independent transmission paths, for the arrival traffic, we assume that the substream A i (s, t) given in (13). Furthermore, we denoted by…”

Section: Delay Bound For the Hybrid Schemementioning

confidence: 99%

Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification?

Yang

Xiao

Poor

2018

IEEE Trans. Commun.

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“…Meng conducts research on the structure of common water-cooled wind power gearboxes and analyzed the change rules of key parameters in the gearboxes and established a diagnostic model [3]. Peng proposes a gearbox oil temperature early warning method based on Maximal Information Coefficient (MIC) for the gearbox fault early warning in the wind generator [4]. Zhen uses the dynamic time warping (DTW) algorithm to select wind generators with similar operating conditions and improved the prediction performance of the wind generator gear set model [5].…”

Section: Introductionmentioning

confidence: 99%

A study on the use of digital twin in wind generator gears

2023

ACE

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With the demand for clean energy is increasing, wind power generators are becoming more common. Although the wind power generation industry has broad prospects for development, there are still problems in wind generator maintenance, especially faulty detection and repair. In order to increase the efficiency of maintenance, the digital twin technology can be used. The mathematical model and the fault tree can help to spend less time alarming. In this article, the use of digital twin in the maintenance and faulty detection of wind generators is analyzed. The methods of faulty detection and the model of fault tree in the maintenance of the wind generator are summarized. In addition, a faulty detection method is proposed through YOLOv5. This method can detect the fault without contacting the gears. The database of faulty detection can be optimized as well. This article may offer a reference for digital twin and fault detection in wind generators.

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Dynamic Traffic Flow to Promote Sustainable Mobility

Rahman

Sufahani

2022

Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering

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The Research of Traffic Flow Assignment Model based on the Network Calculus of Computer Network

Cited by 3 publications

References 4 publications

Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification?

Low-Latency Millimeter-Wave Communications: Traffic Dispersion or Network Densification?

A study on the use of digital twin in wind generator gears

Dynamic Traffic Flow to Promote Sustainable Mobility

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