A Method for Analyzing the Impact of Intra-System and Inter-System Interference on DME Based on Queueing Theory

Jiang, Guofeng; Fan, Yangyu

doi:10.3390/s19020348

Cited by 13 publications

(4 citation statements)

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“…It ranges from the analysis of service chains to arbitrary complex queues of huge network systems. It is usually used to analyze the probability distribution in a continuous-state space [44,45]. Several models of queuing systems are represented by Kendall's notation to classify system types and their queuing events.…”

Section: Queuing Theorymentioning

confidence: 99%

Simulation Model for Blockchain Systems Using Queuing Theory

Memon

Ahmed

2019

Electronics

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In recent years, blockchains have obtained so much attention from researchers, engineers, and institutions; and the implementation of blockchains has started to revive a large number of applications ranging from e-finance, e-healthcare, smart home, Internet of Things, social security, logistics and so forth. In the literature on blockchains, it is found that most articles focused on their engineering implementation, while little attention has been devoted to the exploration of theoretical aspects of the system; however, the existing work is limited to model the mining process only. In this paper, a queuing theory-based model is proposed for understanding the working and theoretical aspects of the blockchain. We validate our proposed model using the actual statistics of two popular cryptocurrencies, Bitcoin and Ethereum, by running simulations for two months of transactions. The obtained performance measures parameters such as the Number of Transactions per block, Mining Time of Each Block, System Throughput, Memorypool count, Waiting Time in Memorypool, Number of Unconfirmed Transactions in the Whole System, Total Number of Transactions, and Number of Generated Blocks; these values are compared with actual statistics. It was found that the results gained from our proposed model are in good agreement with actual statistics. Although the simulation in this paper presents the modeling of blockchain-based cryptocurrencies only, the proposed model can be used to represent a wide range of blockchain-based systems.

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Section: Queuing Theorymentioning

confidence: 99%

Simulation Model for Blockchain Systems Using Queuing Theory

Memon

Ahmed

2019

Electronics

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“…where S(X, t) is an additive mixture of the signal DME S 1 (X, t) (8), and the narrowband interference u(t) (3)- (7). The input signal models ( 8), (14), and (15) were used to derive algorithms for DME signal processing under narrowband interference conditions. A procedure similar to that described in [1] has been used in cases wherein the algorithms for DME signal processing under broadband fluctuation interference conditions are given.…”

Section: Dme Signal Processing Under Narrowband Interference Conditionsmentioning

confidence: 99%

“…An analysis of intra-system and inter-system electromagnetic interference in the DME system is given in [14]. It is reported that large errors may be made in interference analysis if a large number of aircraft cooperate with the DME ground equipment.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Narrowband Interference on DME System Operation

Džunda

Melníková

2023

Aerospace

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Within the new air traffic management concept, using the Global Navigation Satellite System (GNSS), it is assumed that distance measurement equipment (DME) will be retained. The results of research carried out by several authors have confirmed that global navigation satellite systems (GNSS) can be put out of operation in cases of interference. Therefore, it is very timely to investigate the accuracy and resistance to interference of DME systems. The presented work contains the results of research in the field of assessment of the accuracy and resistance of a DME system, which works in conditions of narrowband interference, using modeling and simulation. Based on the derived model of the DME measurement signal, its parameters, and narrowband interference, algorithms for processing the measurement signals of a DME system in conditions of narrowband interference were derived. A quasi-optimal nonlinear filtering method was used in the derivation of the measurement signal-processing algorithms. A quadratic loss function was used as an optimality criterion, which allows us to obtain the results of measuring the parameters of the DME measurement signal as a minimum of the a posteriori mean error. Within this method, Gaussian approximation and large and small parameter methods were used. Simulation of the operation of the DME system confirmed that the measurement accuracy of this system depends on the stability of the frequency of the DME support generator, and also depends on the signal-to-noise ratio and the signal-to-interference ratio of the DME receiver input. Comparing the results of the DME system receiver designed by us with the parameters listed in in published works that discuss the accuracy of this system , we can conclude that its accuracy is much better. The simulation results confirmed that the potential accuracy of the distance measurement is equal to 2.2 m. However, the mentioned algorithms require substantial simplification to be used for real-time signal processing. This will be our next research direction.

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Highly Sensitive Self‐Powered H₂ Sensor Based on Nanostructured Thermoelectric Silicon Fabrics

Pujadó

Gordillo

Avireddy

et al. 2020

Adv Materials Technologies

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Self‐powered sensors running on small differences of temperature are considered promising candidates to cover the increasing demand of sustainable and maintenance‐free wireless sensor networks for the Internet of Things (IoT). Under this context, a cost‐effective and self‐powered hydrogen thermoelectric sensor is presented here as a proof of concept for battery‐less IoT nodes. The device is based on low‐density paper‐like fabrics made of functionalized thermoelectric silicon nanotubes able to harvest energy from the heat released by exothermic reactions, such as the hydrogen catalytic oxidation. This gives an accurate value of the reacting gas concentration without any external power requirement. Experimental results confirm that this self‐powered sensor can autonomously measure concentrations as low as 250 ppm of hydrogen in air while generating power densities up to 0.5 μW cm−2 for 3% H2 at room temperature that can be eventually used to store or send the reading. Due to the universality of the concept, this new class of devices will positively contribute toward the development of other advanced self‐powered sensor nodes in the advent of the Internet of things to be used in different safety scenarios.

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A Method for Analyzing the Impact of Intra-System and Inter-System Interference on DME Based on Queueing Theory

Cited by 13 publications

References 13 publications

Simulation Model for Blockchain Systems Using Queuing Theory

Simulation Model for Blockchain Systems Using Queuing Theory

The Influence of Narrowband Interference on DME System Operation

Highly Sensitive Self‐Powered H₂ Sensor Based on Nanostructured Thermoelectric Silicon Fabrics

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A Method for Analyzing the Impact of Intra-System and Inter-System Interference on DME Based on Queueing Theory

Cited by 13 publications

References 13 publications

Simulation Model for Blockchain Systems Using Queuing Theory

Simulation Model for Blockchain Systems Using Queuing Theory

The Influence of Narrowband Interference on DME System Operation

Highly Sensitive Self‐Powered H2 Sensor Based on Nanostructured Thermoelectric Silicon Fabrics

Contact Info

Product

Resources

About

Highly Sensitive Self‐Powered H₂ Sensor Based on Nanostructured Thermoelectric Silicon Fabrics