scholarly journals Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jinjin Zhao
Keyword(s):  
Real Time ◽  
Wireless Network ◽  
Video Streaming ◽  
Urban Areas ◽  
Network Monitoring ◽  
Sports Participation ◽  
Image Distortion ◽  
Long Distance ◽  
Left Behind

Urbanization is the process that people shift from rural to urban areas, which has led to large numbers of left-behind children in China. The left-behind children stay in rural regions of China while their parents work in urban areas. The left-behind children have few opportunities to participate in sports due to the lacking of concern, and it is not of high quality even though they participate in sports. Therefore, it is necessary to improve the quality of left-behind children's sports participation through wireless network monitoring. Wireless network monitoring transmits high-definition (HD) video streaming in real time to facilitate feedback timely. This paper studies the two-dimensional (2D) integer discrete cosine transform (DCT) and analyzes the reason for image distortion, then an improved DCT coefficient quantization approach is proposed for long-distance real-time transmission of HD video streaming, and a noise processing with a zero-mean noise processing is added in optimized approach to solve the image distortion problem. The experimental results show that the proposed improved approach has a good performance in reducing the blocking artifacts, and within the image reconstruction, the proposed approach improves the subjective video quality.

scholarly journals Quality of Bus Services Performance: Benefits of Real Time Passenger Information Systems

2013 ◽  
Vol 14 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Andres Monzon ◽  
Sara Hernandez ◽  
Rocio Cascajo
Keyword(s):  
Real Time ◽  
Public Transport ◽  
Urban Areas ◽  
Travel Behaviour ◽  
Transport Systems ◽  
Sustainable Transport ◽  
The Public ◽  
Steady Growth ◽  
Bus Services

One of the main problems in urban areas is the steady growth in car ownership and traffic levels. Therefore, the challenge of sustainability is focused on a shift of the demand for mobility from cars to collective means of transport. For this purpose, buses are a key element of the public transport systems. In this respect Real Time Passenger Information (RTPI) systems help people change their travel behaviour towards more sustainable transport modes. This paper provides an assessment methodology which evaluates how RTPI systems improve the quality of bus services performance in two European cities, Madrid and Bremerhaven. In the case of Madrid, bus punctuality has increased by 3%. Regarding the travellers perception, Madrid raised its quality of service by 6% while Bremerhaven increased by 13%. On the other hand, the users´ perception of Public Transport (PT) image increased by 14%.

scholarly journals REAL-TIME INTERACTIVE MECHANISM FOR LIVE STREAMING ON PEER-TO-PEER NETWORKS

2020 ◽  
pp. 208-215
Author(s):  
Mina N. Abadeer ◽  
Rowayda A. Sadek ◽  
Gamal I. Selim
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Packet Delay ◽  
Peer To Peer ◽  
Live Streaming ◽  
P2p Streaming ◽  
Neighbor Selection ◽  
Streaming Technology ◽  
Selection Methodology

Quality of live video streaming technology is based on quality of Experiences parameters (QoE). Approaching the peer-to-peer (P2P) or peer-assisted networks as a sympathetic solution is highly required, especially in light of its authentic scalability and its extremely low initial cost requirements. However, the design of robust, efficient, and performing P2P streaming systems remains a high challenge when real-time constraints are part of the quality of service (QoS), as in TV distribution or conferencing applications. One of the P2P main issues that affect the quality of streaming is the neighbor selection methodology. The proposed work presents an effective mesh-based neighbor selection approaches for video streaming – Uniform Peer Distribution Algorithm (UPDA) – based on QoS and QoE Parameters. UPDA shortens the latency to be ranging from 10 ms to 50 ms servicing up to 4000 online peers under failure / recovery tests. Simulation results demonstrate that the proposed UPDA achieves good performance in End-to End delay with a percentage of 10.4 % and packet delay variation about 2% compared to random neighbor selection method.

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

SIMULATION ◽  
2019 ◽  
Vol 96 (2) ◽  
pp. 185-197
Author(s):  
Adel A Ahmed ◽  
Omar Barukab
Keyword(s):  
Real Time ◽  
Wireless Network ◽  
Multimedia Streaming ◽  
Transport Layer ◽  
Simulation Tool ◽  
Simulation Tools ◽  
Streaming Applications ◽  
Network Technologies ◽  
Transport Layer Protocols

Real-time video communication has become one of the most significant applications extensively used by homogeneous/heterogeneous wireless network technologies, such as Wi-Fi, the Internet of things, the wireless sensor network (WSN), 5G, etc. This leads to enhanced deployment of multimedia streaming applications over wireless network technologies. In order to accomplish the optimal performance of real-time multimedia streaming applications over the homogeneous/heterogeneous wireless network, it is therefore necessary to develop a simulation tool-set that effectively measures the quality of service (QoS) for different multimedia streaming applications over transport layer protocols. This paper proposes an autonomous simulation tool (AST) that is entirely independent from the source code of transport layer protocols. Furthermore, the AST is integrated into NS-2 to evaluate the QoS of real-time video streaming over numerous transport layer protocols and it uses new QoS measurement tools to test the video delivery quality based on I-frames to speeds up the assessment of multimedia streaming quality and ensure high accuracy of performance metrics. The simulation results show that using the AST to simulate real-time multimedia stream results in between 13% and 36% higher delivery ratio and 150–250% less cumulative jitter delay compared with using baseline simulation tools. Also, the AST guarantees an optimal QoS performance measurements in terms of the peak signal-to-noise Ratio and visual quality of the received video.

A Method to Evaluate Quality of Real Time Video Streaming in Radio Access Network

2014 ◽  
Author(s):  
Liang Chen ◽  
Xiaolin Deng ◽  
Yongmei Qi ◽  
Salah Addin Mohammed ◽  
Zesong Fei ◽  
...  
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Access Network ◽  
Radio Access Network ◽  
Radio Access

Machine Learning based KPI Monitoring of Video Streaming Traffic for QoE Estimation

2021 ◽  
Vol 48 (4) ◽  
pp. 33-36
Author(s):  
Özge Celenk ◽  
Thomas Bauschert ◽  
Marcus Eckert
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Video Streaming ◽  
Quality Of Experience ◽  
Service Providers ◽  
Early Stage ◽  
Traffic Information ◽  
Streaming Traffic ◽  
Testing Accuracy

Quality of Experience (QoE) monitoring of video streaming traffic is crucial task for service providers. Nowadays it is challenging due to the increased usage of end-to-end encryption. In order to overcome this issue, machine learning (ML) approaches for QoE monitoring have gained popularity in the recent years. This work proposes a framework which includes a machine learning pipeline that can be used for detecting key QoE related events such as buffering events and video resolution changes for ongoing YouTube video streaming sessions in real-time. For this purpose, a ML model has been trained using YouTube streaming traffic collected from Android devices. Later on, the trained ML model is deployed in the framework's pipeline to make online predictions. The ML model uses statistical traffic information observed from the network-layer for learning and predicting the video QoE related events. It reaches 88% overall testing accuracy for predicting the video events. Although our work is yet at an early stage, the application of the ML model for online detection and prediction of video events yields quite promising results.

scholarly journals Empirical mapping for evaluating an LPWAN (LoRa) wireless network sensor prior to installation in a vineyard

OENO One ◽  
2021 ◽  
Vol 55 (2) ◽  
pp. 301-313
Author(s):  
Guilhem Brunel ◽  
Simon Moinard ◽  
Arnaud Ducanchez ◽  
Thomas Crestey ◽  
Léo Pichon ◽  
...  
Keyword(s):  
Wireless Network ◽  
Urban Areas ◽  
Low Cost ◽  
Wireless Sensor ◽  
Area Network ◽  
Noise Power ◽  
Signal Power ◽  
Wide Area Network ◽  
Power Maps

The main aim of this study was to use Empirical mapping to test the efficiency of local low cost wireless network sensors (LPWAN - Low-Power Wide Area Network) before being applied in real wine-growing conditions. The second aim was to obtain information on the communication distances to be expected from a LPWAN, taking into account the specific needs and real conditions of a vineyard. A hand-held autonomous end-device was specifically built to simulate short messages sent by sensors via a locally designed LPWAN. This device was used to test the quality of the network from different locations within an entire vineyard and also inside the cellar. Two parameters were used to test the quality of reception of the messages: i) The Received Signal Strength Indication (RSSI), which is the received signal power measured in decibels (dB or dBm), and ii) the Signal-to-Noise Ratio (SNR), which is the ratio of the received signal power to the ambient noise power. Maps of signal reception and errors between the observed and the theoretical signal highlighted how vineyard environment (e.g., hedges, topography, and buildings) affects the signal. The results show that the maximum communication distance differed considerably from distances published in the literature. In the open field, the signal, although attenuated by the distance, was received up to 600 meters away, or even more in favourable conditions. Meanwhile, in urban areas the signal was attenuated by buildings and the electro-magnetic environment and therefore communication distances were very short (< 50 m). Empirical mapping has great potential for determining how the local environment affects signal quality and as a decision support tool for identifying the optimal location for the sensors and gateway. With a single well-positioned gateway, such low cost wireless sensor networks (LPWAN-LoRa) could be used by small to medium-sized vineyards to collect information from sensors either outside in the fields or indoors in the vineyard cellar. This paper proposes a very cheap method (< 40 €) for testing and spatialising the quality of a low cost wireless sensor network before its implementation, and it also provides information on zones with low quality reception.

scholarly journals Analisis Quality Of Service (Qos) Layanan Video Streaming Youtube Pada Jaringan Wireless

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Munawir M ◽  
Zulfan Zulfan ◽  
Susmanto Susmanto ◽  
Furqan Furqan
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Video Streaming

Menganalisa jaringan Wireless dengan menggunakan Quality Of Service adalah tujuan program, peralatan, khususnya data dapat digunakan oleh setiap orang yang ada pada jaringan. Perangkat dan data yang dapat dishare akan membuat penghematan anggaran yang cukup besar, karena tidak perlu membeli perangkat baru untuk dipasang ditiap-tiap unit komputer. Dalam meningkatkan performa konektivitas tersebut, yaitu dengan memastikan bahwa lalu lintas data di jaringan berjalan lancar. Salah satu cara untuk melakukan ini adalah dengan menganalisa kualitas jaringan apakah baik, sedang dan buruk pada layanan video steaming Youtube.Tujuan dari penelitian ini adalah untuk melihat kualitas jaringan dengan menggunakan software wireshark untuk melihat jaringan dengan aplikasi jaringan komputer yang bersifat multimedia, real-time, interaktif dan merupakan salah satu solusi kebutuhan multipoint. Dalam melakukan perencanaan sebelum menggelar fasilitas video melalui suatu jaringan, kita perlu memperhitungkan kebutuhan bandwidth untuk sukses-nya sebuah konferensi video. Kesimpulan dari penelitian ini adalah telah berhasil dilakukan maka perlu dilakukan Qos pada video streaming, karena video membutuhkan bandwidth yang sangat besar maka perlu adanya suatu kinerja yang lebih dalam jaringan tersebut untuk menjaga jaringan internet tetap stabil dan Dapat di gunakan Dengan Baik dalam layanan video streaming pada layanan jaringan Wireless.

scholarly journals Effective Bandwidth Prediction through Statistical Technique over Heterogeneous Networks

2019 ◽  
Vol 8 (12) ◽  
pp. 508-512
Keyword(s):  
Real Time ◽  
Mobile Devices ◽  
Video Streaming ◽  
Heterogeneous Networks ◽  
Streaming Media ◽  
Statistical Technique ◽  
Prediction Algorithm ◽  
Effective Bandwidth ◽  
Battery Life

Real time Streaming Media (Video Streaming) applications are mostly popular on the mobiles and computers using Internet. Due to higher demand of video streaming through wireless network and mobile devices, video are being transmitted through various heterogeneous networks so as to efficiently deliver to the clients devices. This has resulted in the lower quality of real time video, since real time streaming media has quality of parameter requirements like high bandwidth, low packet loss ratio, higher delay and jitter. Streaming media such as video through heterogeneous networks has more challenges due to unreliable wireless networks and device mobility; moreover bandwidth, delay and loss are unknown in advance and are unbounded. In this paper, effective bandwidth prediction through statistical technique over heterogeneous wireless communication networks is proposed. Statistical technique offers computationally efficient bandwidth prediction with reasonably better accuracy. Especially with mobile devices with limited computational power and battery life, necessitates better bandwidth prediction with efficient but computationally simpler algorithms. Bandwidth predictions assist in selecting effective network for video streaming when various heterogeneous networks are available. Detailed bandwidth prediction algorithm is presented with use of quality of service (QoS) parameters data sets available online.

Sign in / Sign up

Export Citation Format

Share Document