scholarly journals Wireless Sensor Networks for Enabling Smart Production Lines in Industry 4.0

2021 ◽  
Vol 11 (23) ◽  
pp. 11248
Author(s):  
Brecht De Beelde ◽  
David Plets ◽  
Wout Joseph
Keyword(s):  
Network Architecture ◽  
Network Planning ◽  
Sensor Data ◽  
Hybrid Network ◽  
Physical Parameters ◽  
Production Lines ◽  
Transmit Power ◽  
Coding Schemes ◽  
Data Rates ◽  
Minimal Data

With the deployment of data-driven assembly and production factories, challenges arise in sensor data acquisition and gathering. Different wireless technologies are currently used for transferring data, each with different advantages and constraints. In this paper, we present a hybrid network architecture for providing Quality of Service (QoS) in an industrial environment where guaranteed minimal data rates and maximal latency are of utmost importance for controlling devices and processes. The location of the access points (APs) is determined during the initial network-planning action, together with physical parameters such as frequency, transmit power, and modulation and coding schemes. Instead of performing network-planning just once before the network rollout, the network is monitored continuously by adding telemetry data to the frame header of all data streams, and the network is automatically reconfigured in real-time if the requirements are not met. By not using maximum transmit powers during the initial roll-out, more APs are needed, but coverage is guaranteed when new obstructions such as metallic racks or machinery are added. It is found that decreasing the transmit power by 6 dB gives the best trade-off between the number of required APs and network robustness. The proposed architecture is validated via simulations and via a proof-of-concept setup.

scholarly journals Prototype Design of a Ship Intelligent Integrated Platform

2020 ◽  
Author(s):  
Fuxin Wang ◽  
Hao Luo ◽  
Yuan Yu ◽  
Liyong Ma
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Network Architecture ◽  
Data Communication ◽  
Sensor Data ◽  
Hybrid Network ◽  
Integrated Platform ◽  
Hadoop Distributed File System ◽  
Point To Point ◽  
Prototype Design

Recently, more and more attention has been paid to ship intelligence. However, in the sensor data acquisition network represented by the integrated ship bridge system, sensor data is collected and transmitted point to point, and the data coupling is strong, which is not conducive to the hierarchical utilization of data. To provide more effective data communication methods and flexible support to applications, intelligent integrated platform is needed by modern ship. Prototype design and practice of a ship intelligent platform is proposed, and the key technologies of the platform is discussed. The overall architecture of the platform is described. A hybrid network architecture with fieldbus, real-time ethernet and ethernet information network is introduced. And data storage architecture using NoSQL and hadoop distributed file system is described. The system can meet the real-time performance requirement of the control and information communication. An energy efficiency application based on the designed platform is developed, machine learning based method is employed to predict the heavy oil fuel consumption for ship navigation.

scholarly journals Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion

2021 ◽  
Vol 4 (1) ◽  
pp. 3
Author(s):  
Parag Narkhede ◽  
Rahee Walambe ◽  
Shruti Mandaokar ◽  
Pulkit Chandel ◽  
Ketan Kotecha ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Network Architecture ◽  
Cost Effective ◽  
Sensor Data ◽  
Dense Layer ◽  
Gaseous Emissions ◽  
Multiple Sensors ◽  
Single Output ◽  
Novel Approach ◽  
Single Sensor

With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One such area of concern is the rising number of accidents happening due to gas leaks at coal mines, chemical industries, home appliances etc. In this paper we propose a novel approach to detect and identify the gaseous emissions using the multimodal AI fusion techniques. Most of the gases and their fumes are colorless, odorless, and tasteless, thereby challenging our normal human senses. Sensing based on a single sensor may not be accurate, and sensor fusion is essential for robust and reliable detection in several real-world applications. We manually collected 6400 gas samples (1600 samples per class for four classes) using two specific sensors: the 7-semiconductor gas sensors array, and a thermal camera. The early fusion method of multimodal AI, is applied The network architecture consists of a feature extraction module for individual modality, which is then fused using a merged layer followed by a dense layer, which provides a single output for identifying the gas. We obtained the testing accuracy of 96% (for fused model) as opposed to individual model accuracies of 82% (based on Gas Sensor data using LSTM) and 93% (based on thermal images data using CNN model). Results demonstrate that the fusion of multiple sensors and modalities outperforms the outcome of a single sensor.

scholarly journals Atmospheric correction of multispectral satellite imagery

2020 ◽  
pp. 4-11
Author(s):  
Leonid Katkovsky
Keyword(s):  
Land Surface ◽  
Satellite Image ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Sensor Data ◽  
Physical Parameters ◽  
Landsat 8 ◽  
Optical Parameters ◽  
Outgoing Radiation ◽  
Correction Technique

Atmospheric correction is a necessary step in the processing of remote sensing data acquired in the visible and NIR spectral bands.The paper describes the developed atmospheric correction technique for multispectral satellite data with a small number of relatively broad spectral bands (not hyperspectral). The technique is based on the proposed analytical formulae that expressed the spectrum of outgoing radiation at the top of a cloudless atmosphere with rather high accuracy. The technique uses a model of the atmosphere and its optical and physical parameters that are significant from the point of view of radiation transfer, the atmosphere is considered homogeneous within a satellite image. To solve the system of equations containing the measured radiance of the outgoing radiation in the bands of the satellite sensor, the number of which is less than the number of unknowns of the model, it is proposed to use various additional relations, including regression relations between the optical parameters of the atmosphere. For a particular image pixel selected in a special way, unknown atmospheric parameters are found, which are then used to calculate the reflectance for all other pixels.Testing the proposed technique on OLI sensor data of Landsat 8 satellite showed higher accuracy in comparison with the FLAASH and QUAC methods implemented in the well-known ENVI image processing software. The technique is fast and there is using no additional information about the atmosphere or land surface except images under correction.

A SDN-based wired/wireless hybrid network architecture of cloud data center

2021 ◽  
Author(s):  
Tao Jing ◽  
Liu Shidong ◽  
Liu Chuan ◽  
Bu Xiande ◽  
Zhang Gang
Keyword(s):  
Data Center ◽  
Network Architecture ◽  
Hybrid Network ◽  
Cloud Data Center ◽  
Cloud Data

Importance of Cloud Computing in 5G Radio Access Networks

2020 ◽  
pp. 255-268
Author(s):  
Wael S. Afifi ◽  
Ali A. El-Moursy ◽  
Mohamed Saad ◽  
Salwa M. Nassar ◽  
Hadia M. El-Hennawy
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Network Architecture ◽  
Access Networks ◽  
Multimedia Services ◽  
Fifth Generation ◽  
Radio Access ◽  
Data Rates ◽  
Computing Centers

The fifth generation of wireless networks (5G) will kick off with evolved mobile broadband services as promised by several mobile-related associations, researchers, and operators. Compared to 4G, 5G aims to provide greater data rates with lower latency and higher coverage to numerous users who stream ubiquitous multimedia services. 5G benefits the innovation of internet of things (IoT) as well. To this end, several modifications in the network architecture are required. This chapter is discussing the role of cloud computing centers in 5G networks, and how such integration could be implemented as found in the literature. The benefits of cloud/5G integration will be explained as well. In addition, some challenges related to the integration will be demonstrated.

Importance of Cloud Computing in 5G Radio Access Networks

2021 ◽  
pp. 226-239
Author(s):  
Wael S. Afifi ◽  
Ali A. El-Moursy ◽  
Mohamed Saad ◽  
Salwa M. Nassar ◽  
Hadia M. El-Hennawy
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Network Architecture ◽  
Access Networks ◽  
Multimedia Services ◽  
Fifth Generation ◽  
Radio Access ◽  
Data Rates ◽  
Computing Centers

The fifth generation of wireless networks (5G) will kick off with evolved mobile broadband services as promised by several mobile-related associations, researchers, and operators. Compared to 4G, 5G aims to provide greater data rates with lower latency and higher coverage to numerous users who stream ubiquitous multimedia services. 5G benefits the innovation of internet of things (IoT) as well. To this end, several modifications in the network architecture are required. This chapter is discussing the role of cloud computing centers in 5G networks, and how such integration could be implemented as found in the literature. The benefits of cloud/5G integration will be explained as well. In addition, some challenges related to the integration will be demonstrated.

Theoretical Framework and Research Methods of Poyang Lake Smart Water Resource Monitoring Based on WSN and 3S Technologies

2014 ◽  
Vol 519-520 ◽  
pp. 1229-1234
Author(s):  
Jian Hua Wu ◽  
Jun Gong ◽  
Yue Zhi Hu ◽  
Yang Yang Wan
Keyword(s):  
Water Resource ◽  
Lake Water ◽  
Network Architecture ◽  
Spatial Information ◽  
Poyang Lake ◽  
Sensor Data ◽  
Detection Methods ◽  
Resource Monitoring ◽  
Smart Water ◽  
Time Space

Expounded research background and significance of Poyang Lake smart water resource monitoring, proposed a new theory research framework of Poyang Lake smart water resource monitoring based on WSN and 3S spatial information technologies, explored the related basic theories and methods which applied to the research of water resource smart monitoring, summarized the key issues in the researches of building wireless sensor network architecture and multi-sensor fusion physics platform for Poyang Lake water resource monitoring, methods of multi-sensor information extraction, access, processing and storage, the Poyang Lake water monitoring information spatializiation methods, multi-sensor data anomaly detection methods, and gave the research ideas and problem-solving strategies. Eventually, through the establishment of a practical and reliable Poyang Lake smart water resource monitoring system, improve flexibility, real-time, space visibility of water resource monitoring.

High Speed Ring-Based Distributed Networked Control System for Real-Time Multivariable Applications

2004 ◽  
Author(s):  
Sunghoon Kim ◽  
H. Kazerooni
Keyword(s):  
Control System ◽  
Network Architecture ◽  
High Speed ◽  
Networked Control System ◽  
Networked Control ◽  
Sensor Data ◽  
Network Systems ◽  
System A ◽  
Network Delays ◽  
High Control

A networked control system (NCS) is a control architecture where sensors, actuators and controllers are distributed and interconnected. It is advantageous in terms of interoperability, expandability, installation, volume of wiring, maintenance, and cost-effectiveness. Many distributed network systems of various topologies and network type have been developed, but NCS systems tend to suffer from such issues as nondeterminism, long network delays, large overheads and unfairness. This paper presents the ring-based protocol, called the ExoNet, and its network architecture which are built to achieve better performance as a distributed networked system. A Cypress transceiver CY7C924ADX is applied to the network as a communication unit. The protocol is based on the transceiver and developed to achieve fast communication and allowable latency for controls with high control loop frequency. Compared with other standard network types such as Ethernet, ControlNet or DeviceNet, the network is characterized by its ring-based architecture, simple message and packet formats, one-shot distribution of control data and collection of sensor data, multi-node transmission, echo of a message, and other features. The network also guarantees determinism, collision-free transmission, relatively small overhead, fairness between nodes and flexibility in configuration. Its analysis and comparison with these network types are also provided and its application on the Berkeley Lower-Extremity Exoskeleton (BLEEX) is described.

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