scholarly journals A Flexible Approach for Smart Management of Transmissions in Power Line Communications

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Mario Collotta ◽  
Salvatore Tirrito
Keyword(s):  
Data Transmission ◽  
Power Line ◽  
Line System ◽  
Power Line Communications ◽  
Transmission Quality ◽  
On Chip ◽  
Electrical Wiring ◽  
Real Scenario ◽  
Line Network

Power line communications (PLCs) refer to a technology based on the existing electrical wiring to transmit data among the devices connected to the network. The PLC technology is an excellent solution widely studied and analysed by researchers, even in those areas characterized by strict requirements, such as industries. In this paper, a technique based on fuzzy logic, for the dynamic management of the amplitude of the signal emitted by the devices of a power line network, is proposed. The main aim is to manage the amplitude of the transmission signal in order to reduce the noise introduced into the network, and, as a consequence, the power consumption, increasing data transmission quality of network in terms of Quality of Service (QoS). This solution has been implemented into embedded systems based on the ADD1010, a power line System on Chip (SoC), and tested through a real scenario realized in laboratory.

DEVICES AND MEANS OF CONTROL OF UNDERGROUND FACILITIES BASED ON PLC TECHNOLOGY

2019 ◽  
pp. 44-47
Author(s):  
M.-B. I. Tebuev ◽  
T.-B. I. Tebuev ◽  
V. A. Shpenst
Keyword(s):  
Control System ◽  
Data Transmission ◽  
Power Line ◽  
Technological Equipment ◽  
Monitoring And Control ◽  
Power Line Communications ◽  
Hard Structures ◽  
And Control ◽  
Communication Lines ◽  
Communications System

The article presents a solution for data transmission via electrotechnical communication lines, based on the testing of capacitive and inductive connection devices. The article contains information about modern systems for monitoring and control of technological equipment in the mine, for communication, alarm, monitoring and alerts. The principles and features of the Power Line Communications system are described. The relevance of the introduction of PLC technology in the control system of hard structures is described.

scholarly journals Power Line Communications for Smart Grid Applications

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Lars Torsten Berger ◽  
Andreas Schwager ◽  
J. Joaquín Escudero-Garzás
Keyword(s):  
Smart Grid ◽  
Data Transmission ◽  
Renewable Energy Sources ◽  
Power Line ◽  
Energy Sources ◽  
Power Line Communication ◽  
Electricity Supply ◽  
Power Line Communications ◽  
Grid Applications ◽  
Electricity Infrastructure

Power line communication, that is, using the electricity infrastructure for data transmission, is experiencing a renaissance in the context ofSmart Grid. Smart Grid objectives include the integration of intermittent renewable energy sources into the electricity supply chain, securing reliable electricity delivery, and using the existing electrical infrastructure more efficiently. This paper surveyspower line communications(PLCs) in the context of Smart Grid. The specificationsG3-PLC,PRIME,HomePlug Green PHY, andHomePlug AV2, and the standardsIEEE 1901/1901.2andITU-T G.hn/G.hnemare discussed.

A New Measurement Method of Conducted EMI on the Power-Line Communications Channel

2013 ◽  
Vol 397-400 ◽  
pp. 1988-1993
Author(s):  
Wei Long Fu ◽  
Ya Lin Guan ◽  
Yang Lu
Keyword(s):  
Electromagnetic Interference ◽  
Measurement Method ◽  
Low Voltage ◽  
Power Line ◽  
Line System ◽  
Power Line Communications ◽  
Noise Characteristics ◽  
Working Principle ◽  
The Time Domain ◽  
Conducted Emi

Various kinds of household appliances have been widely deployed in the low-voltage grid. They inject conducted noise into the power line system, which may cause a detrimental effect on the Power-line Communications (PLC) channel. This paper examines a new measurement method of conducted Electromagnetic Interference (EMI) on the PLC channel. The proposed method is to facilitate the noise characteristic research, which overcomes the potential difficulties when the measurement is performed according to CISPR 16-2-1. In particular, taking the hairdryer as an example, the conducted noises when the motor is deemed as the noise source are measured by employing the presented method. Moreover, this paper also analyzes the conducted noise of the hairdryer both in the time domain and in the frequency domain, and interprets the noise generating mechanisms with the working principle of the motor in detail. The central issue in all these studies is to research the conducted electromagnetic noise characteristics on the PLC channel.

scholarly journals Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4090
Author(s):  
Dariusz Żelasko ◽  
Wojciech Książek ◽  
Paweł Pławiak
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Data Transmission ◽  
Computer Network ◽  
Modern Computer ◽  
New Concepts ◽  
Expert User ◽  
Gradient Descent Algorithm ◽  
Transmission Quality

Modern computer systems practically cannot function without a computer network. New concepts of data transmission are emerging, e.g., programmable networks. However, the development of computer networks entails the need for development in one more aspect, i.e., the quality of the data transmission through the network. The data transmission quality can be described using parameters, i.e., delay, bandwidth, packet loss ratio and jitter. On the basis of the obtained values, specialists are able to state how measured parameters impact on the overall quality of the provided service. Unfortunately, for a non-expert user, understanding of these parameters can be too complex. Hence, the problem of translation of the parameters describing the transmission quality appears understandable to the user. This article presents the concept of using Machine Learning (ML) to solve the above-mentioned problem, i.e., a dynamic classification of the measured parameters describing the transmission quality in a certain scale. Thanks to this approach, describing the quality will become less complex and more understandable for the user. To date, some studies have been conducted. Therefore, it was decided to use different approaches, i.e., fusion of a neural network (NN) and a genetic algorithm (GA). GA’s were choosen for the selection of weights replacing the classic gradient descent algorithm. For learning purposes, 100 samples were obtained, each of which was described by four features and the label, which describes the quality. In the reasearch carried out so far, single classifiers and ensemble learning have been used. The current result compared to the previous ones is better. A relatively high quality of the classification was obtained when we have used 10-fold stratified cross-validation, i.e., SEN = 95% (overall accuracy). The incorrect classification was 5/100, which is a better result compared to previous studies.

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