Research on Optimization Method of Data Transmission and Distribution Protocol Based on Mesh Network Architecture

2013 ◽  
Vol 5 (2) ◽  
pp. 212-218
Author(s):  
WEI Hongjuan
Keyword(s):  
Data Transmission ◽  
Network Architecture ◽  
Optimization Method ◽  
Mesh Network ◽  
Transmission And Distribution

Design of multi-indicator integrated testing system for tobacco intelligent silk production line

2021 ◽  
pp. 1-13
Author(s):  
Dayong Guo ◽  
Qing Hu
Keyword(s):  
Response Time ◽  
Data Transmission ◽  
Production Line ◽  
Network Architecture ◽  
Production Management ◽  
Detection System ◽  
System Response ◽  
Testing System ◽  
Ring Network ◽  
Transmission Speed

Aiming at the problems of low precision, slow data transmission speed and long response time of silk quality and temperature control in tobacco intelligent production line, a multi-index testing system is designed. According to the characteristics of PROFIBUS fieldbus technology, combined with PROFIBUS transmission technology, a factory level information network is formed with PROFIBUS-DP as the exchange mode. Based on the PROFIBUS technology, the dual redundancy structure of control ring network and management information ring network is adopted, and the whole network architecture is constructed by logic layering. From the point of view of building enterprise MES system, it locates real-time production monitoring, production task receiving and production line related data collection, integrates equipment control layer, centralized monitoring layer and production management layer, and designs system function structure. The functional structure of the system, and the establishment of a number of data tables, to achieve a tobacco intelligent production line silk quality detection system design. Experimental results show that this method can effectively speed up the data transmission speed and shorten the system response time.

scholarly journals Enhancement of data transmission using optimized multi-cell approach in 5G backhaul wireless mesh network

2019 ◽  
Vol 14 (1) ◽  
pp. 65
Author(s):  
Nirmalkumar S Benni ◽  
Sunilkumar S Manvi
Keyword(s):  
Data Transmission ◽  
High Speed ◽  
User Equipment ◽  
Mesh Network ◽  
Wave Band ◽  
Estimation Errors ◽  
Traffic Routing ◽  
Centimeter Wave ◽  
Channel Information ◽  
High Speed Data

<p><span>The millimeter wave (mmWave) band and its usage has taken an attention in this 5G creation as its implementation can provide ultra-high speed data transmission in wireless network. This is much better than the centimeter wave-band as it has limitations on the bandwidth usage. While considering the 5G networking with the backhaul-topologies, the network and user-equipment performance depends on the selection of serving receiving nodes (RNs) of the user-equipment (UE). Therefore, the algorithms that reduces the complexity of the UE association and the backhaul traffic-routing must be chosen, which thereby maximizes the efficiency of the spectrum and energy of network. The modifications are done to the Multicellular local solution (McLS)approach, which leads to our proposed algorithm that is, improved against the channel information estimation-errors. The optimized multi-cell approach (OMcA) is formed by combining the improved-parameter, the pre-coder, mean square error (MSE) weighted-variable and receive filter. The proposed OMcA is compared with some other existing technique in order to evaluate the performance in terms of sum rate (SR).</span></p>

Deployment of a Wireless Mesh Network for Traffic Control

2012 ◽  
pp. 290-310
Author(s):  
Kun-chan Lan ◽  
Zhe Wang ◽  
Mahbub Hassan ◽  
Tim Moors ◽  
Rodney Berriman ◽  
...  
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Critical Infrastructure ◽  
Mesh Networks ◽  
New Technology ◽  
Mesh Network ◽  
Traffic Light ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, new technology. However, the suitability of WMN for mission-critical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for real-time communications. In this chapter, the authors describe a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney. This system, known as SCATS and used in over 100 cities around the world — from individual traffic light controllers to regional computers and the central TMC —places stringent requirements on the reliability and latency of the data exchanges. The authors discuss experience in the deployment of an initial testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and share the results and insights learned from measurements and initial trials in the process.

Using Wireless Mesh Network for Traffic Control

2010 ◽  
pp. 331-347 ◽  
Author(s):  
Kun-Chan Lan
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Great Majority ◽  
Mesh Network ◽  
Traffic Light ◽  
Available Bandwidth ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, flexible and low-cost alternative to wired communication infrastructures in many contexts. However, the great majority of research on metropolitan-scale WMN has been centered around maximization of available bandwidth, suitable for non-real-time applications such as Internet access for the general public. On the other hand, the suitability of WMN for missioncritical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for realtime communications. In this chapter, we describe a real-world testbed, which sets a goal of designing a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney, Australia. This system, known as SCATS (Sydney Coordinated Adaptive Traffic System) and used in over 100 cities around the world, connects a hierarchy of several thousand devices -- from individual traffic light controllers to regional computers and the central Traffic Management Centre (TMC) - and places stringent requirements on the reliability and latency of the data exchanges. We discuss some issues in the deployment of this testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and show some results from the testbed measurements.

scholarly journals Deep kernel learning approach to engine emissions modeling

2020 ◽  
Vol 1 ◽  
Author(s):  
Changmin Yu ◽  
Marko Seslija ◽  
George Brownbridge ◽  
Sebastian Mosbach ◽  
Markus Kraft ◽  
...  
Keyword(s):  
Network Architecture ◽  
Mean Squared Error ◽  
Computational Cost ◽  
Optimization Method ◽  
Surrogate Models ◽  
Kernel Learning ◽  
High Dimensional Model Representation ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Engine Emissions

Abstract We apply deep kernel learning (DKL), which can be viewed as a combination of a Gaussian process (GP) and a deep neural network (DNN), to compression ignition engine emissions and compare its performance to a selection of other surrogate models on the same dataset. Surrogate models are a class of computationally cheaper alternatives to physics-based models. High-dimensional model representation (HDMR) is also briefly discussed and acts as a benchmark model for comparison. We apply the considered methods to a dataset, which was obtained from a compression ignition engine and includes as outputs soot and NO x emissions as functions of 14 engine operating condition variables. We combine a quasi-random global search with a conventional grid-optimization method in order to identify suitable values for several DKL hyperparameters, which include network architecture, kernel, and learning parameters. The performance of DKL, HDMR, plain GPs, and plain DNNs is compared in terms of the root mean squared error (RMSE) of the predictions as well as computational expense of training and evaluation. It is shown that DKL performs best in terms of RMSE in the predictions whilst maintaining the computational cost at a reasonable level, and DKL predictions are in good agreement with the experimental emissions data.

QoS-Aware Service Selection and Multicast Framework for Wireless Mesh Networks

2016 ◽  
Vol 12 (1) ◽  
pp. 1-15 ◽  
Author(s):  
A. Narayana Rao ◽  
Ch. D. V. Subba Rao
Keyword(s):  
Data Transmission ◽  
Mesh Networks ◽  
Service Selection ◽  
Video Data ◽  
Mesh Network ◽  
Delivery Ratio ◽  
Wired Networks ◽  
Wireless Mesh ◽  
Security And Reliability ◽  
Effective Path

Wireless Mesh Network (WMN) is a multi-hop, multi-path network that has become the most favored method in delivering end-to-end data, voice and video. Data transmission through WMN has the security and reliability, same as the conventional wired networks. Since, WMN has a decentralized topology, maintaining QoS is very crucial. Hence in this work, we propose to develop a WMN that selects services based on high QoS. In order to avoid redundancy in data transmission, in this work we propose to develop an efficient framework for multicasting by determining the most effective path for transmitting the same data towards multiple destination nodes. By simulation results, we show that the proposed technique provides better QoS in terms of throughput and packet delivery ratio.

The Improvement about the Reliability of Sampling Based on Process Bus in Smart Substation

2014 ◽  
Vol 1070-1072 ◽  
pp. 1398-1404
Author(s):  
Chen Fan ◽  
Yi Min Ni ◽  
Ren Hui Dou ◽  
Xin Xu ◽  
Zhi Qiang Yao ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Network Optimization ◽  
Data Transmission ◽  
Network Architecture ◽  
Transmission Network ◽  
Technical Problems ◽  
System Method ◽  
Smart Substation ◽  
New System

The sampling based on process bus is not widely used in smart substation because there are still some technical problems on synchronization, the design of network architecture and sampling data receiving and processing areas. There are some researches about the problems are carried out, but they only focus on part of them and cannot give the whole solution. In order to improve the reliability of network sampling, a new system method which includes all the segments of the sampling based on process such as the synchronization of data acquisition, data transmission, network optimization and data processing are presented. In the data acquisition segment, the synchronization based on IEEE1588 is provided, In the data transmission segment, a new hardware architecture which is based on FPGA+DSP+VxWorks is described, in the segment of network optimization, the topology structure and virtual LAN are suggested. At last, the automatic resampling is proposed in the data receiving and processing segment. It will be useful to improve the reliability of sampling based on process bus in smart substation.

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