Adaptive Transmission Control Based on QoE Measurement of Invalid Data Rate

2014 ◽  
Vol 513-517 ◽  
pp. 2063-2067
Author(s):  
Lin Guang Lai ◽  
Lei Xu ◽  
Chang Sheng Cao
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Loss Rate ◽  
Code Rate ◽  
Adaptive Transmission ◽  
Data Rate ◽  
Video Data ◽  
Transmission Control ◽  
Rate Experiment

In the real-time network video surveillance system which uses UDP for data transmission, the packet loss and delay of H.264 video data unit would cause image pause and blur. The paused and blurry image affects the quality of users’ experience. In this paper, we put forward Idr (invalid data rate) to integrate the delay and packet loss rate and chooses code rate as the target of adjustment. We propose an adaptive transmission approach based on QoE Measurement of invalid data rate. Experiment result shows that, this approach can improve the video fluency and clarity as well as user experience.

МЕТОД ГЛУБОКОГО ОБУЧЕНИЯ С ПОДКРЕПЛЕНИЕМ ДЛЯ СИСТЕМ ИНТЕРНЕТА ВЕЩЕЙ НА БАЗЕ ТЕХНОЛОГИИ LORA С ОГРАНИЧЕННЫМИ РЕСУРСАМИ И ПОДДЕРЖКОЙ QoS

2021 ◽  
Author(s):  
 M.S. MUTHANNA ◽  
A.S. MUTHANNA ◽  
 A.S. BORODIN
Keyword(s):  
Data Transmission ◽  
Environmental Parameters ◽  
Code Rate ◽  
Frame Structure ◽  
Signal Quality ◽  
High Quality ◽  
Spreading Factor ◽  
Transmission Parameters ◽  
Factor Code

Achieving high Quality of Service (QoS) remains a challenge for LoRa technology. However, high QoS can be achieved via optimizing the transmission policy parameters such as bandwidth and code rate. Existing approaches do not provide an opportunity to optimize the LoRa networks' data transmission parameters. The article proposes transmission policy enforcementfor QoS-aware LoRanetworks.The QoSparameter ranking is implemented for IoT nodes where priority and nonpriority information is identified by the new field of LoRa frame structure(QRank).The optimaltransmissionpolicyenforcement uses fast deep reinforcement learning that utilizes the environmental parameters including QRank, signal quality, and signal-to-interference-plus-noise-ratio. The transmission policy is optimized for spreading factor, code rate, bandwidth, and carrier frequency. Performance evaluation is implemented using an NS3.26 LoRaWAN module. The performance is examined for various metrics such as delay and throughput. Достижение высокого качества обслуживания (QoS) по-прежнему остается достаточно сложной задачей для технологии LoRa. В принципе высокий уровень QoS может быть достигнут за счет оптимизации параметров передачи, например, пропускной способности и скорости передачи информации в сети. Известные на сегодняшний день решения не дают возможности оптимизировать параметры передачи данных для сетей LoRa. В статье предложен эффективный метод передачи данных, обеспечивающий требования по QoS при использовании технологии LoRa. Ранжирование параметров QoS для узлов интернета вещей определяется новым полем структуры фрейма LoRa (QRank) для приоритетной и неприоритетной информации. Для обеспечения эффективной передачи применяется быстрое глубокое обучение с подкреплением, для которого используются как параметры качества обслуживания, так и отношение сигнал/шум. Метод передачи оптимизирован с учетом коэффициента распространения, скорости передачи данных, полосы пропускания и несущей частоты. Оценка производительности при применении предложенного метода проведена с использованием модуля LoRaWAN в пакете имитационного моделирования NS3.26. Производительность оценивается на основе параметров задержки и пропускной способности.

scholarly journals Sensing Coverage Algorithm of Sparse Mobile Sensor Node with Trade-Off between Packet Loss Rate and Transmission Delay

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Kehua Zhao ◽  
Yourong Chen ◽  
Siyi Lu ◽  
Banteng Liu ◽  
Tiaojuan Ren ◽  
...  
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
Transmission Delay ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Sensing Coverage ◽  
Mobile Sensor Node ◽  
Monitoring Area

To solve the problem of sensing coverage of sparse wireless sensor networks, the movement of sensor nodes is considered and a sensing coverage algorithm of sparse mobile sensor node with trade-off between packet loss rate and transmission delay (SCA_SM) is proposed. Firstly, SCA_SM divides the monitoring area into several grids of same size and establishes a path planning model of multisensor nodes’ movement. Secondly, the social foraging behavior of Escherichia coli in bacterial foraging is used. A fitness function formula of sensor nodes’ moving paths is proposed. The optimal moving paths of all mobile sensor nodes which can cover the entire monitoring area are obtained through the operations of chemotaxis, replication, and migration. The simulation results show that SCA_SM can fully cover the monitoring area and reduce the packet loss rate and data transmission delay in the process of data transmission. Under certain conditions, SCA_SM is better than RAND_D, HILBERT, and TCM.

scholarly journals Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2153 ◽  
Author(s):  
Latha R ◽  
Vetrivelan P
Keyword(s):  
Packet Loss ◽  
Loss Rate ◽  
Bayes Theorem ◽  
Data Rate ◽  
Packet Loss Rate ◽  
Medical Decision ◽  
Area Network ◽  
Body Area ◽  
Delay Sensitive ◽  
Emergency Monitoring

This paper is a collection of telemedicine techniques used by wireless body area networks (WBANs) for emergency conditions. Furthermore, Bayes’ theorem is proposed for predicting emergency conditions. With prior knowledge, the posterior probability can be found along with the observed evidence. The probability of sending emergency messages can be determined using Bayes’ theorem with the likelihood evidence. It can be viewed as medical decision-making, since diagnosis conditions such as emergency monitoring, delay-sensitive monitoring, and general monitoring are analyzed with its network characteristics, including data rate, cost, packet loss rate, latency, and jitter. This paper explains the network model with 16 variables, with one describing immediate consultation, as well as another three describing emergency monitoring, delay-sensitive monitoring, and general monitoring. The remaining 12 variables are observations related to latency, cost, packet loss rate, data rate, and jitter.

Experimental Research on Diffserv-Aware MPLS Traffic Engineering

2012 ◽  
Vol 263-266 ◽  
pp. 1858-1863
Author(s):  
Jin He Zhou ◽  
Guo Min Xia
Keyword(s):  
Quality Of Service ◽  
Experimental Research ◽  
Packet Loss ◽  
Traffic Engineering ◽  
High Performance ◽  
Loss Rate ◽  
Differentiated Services ◽  
Packet Loss Rate ◽  
Differentiated Service

Diffserv-aware and Traffic Engineering combine the advantages of MPLS, Traffic Engineering (TE) and Differentiated Services (Diffserv, DS) to provide high performance and Quality of Service(QoS) in networks. We have designed three scenarios on Juniper Networks platforms to analyze the packet loss rate and delay for video, voice and data. The results show that MPLS DS-TE can improve the QoS for differentiated service effectively. The research has practical value for the development of DS-TE based on MPLS.

scholarly journals Analysis and Testing of Data Transmission of Providers in Indonesia using GSM and CDMA Modem

2018 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Fani Rakhman Hakim ◽  
Bambang Sugiantoro
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Data Transfer ◽  
Data Gathering ◽  
Quality Of Data ◽  
Throughput Time ◽  
Time Jitter ◽  
Non Local

The technology of internet nowadays has become most important aspect and becomes primary need for certain group of peoples who work in some field like education,economy,health,etc. One of the biggest problem which mostly brought by so many people is speed in data transfer. This paper emphasize in directly testing the quality of data transmission from each transmission technology. The equipment used by this paper is ZTE Join Air help, the simcard provided by Telkomsel,XL, and indosat, while CDMA technology used simcard provided by smartfren and esia and modem provided by Smartfren which its series is EC176-2. The parameters used for testing in this paper are throughput, time, jitter dan packet loss. this paper used data gathering method, for each operator and the testing used by this paper is downloading some files from local and non local server, then comparing parameter value between operators.

Efficient Streaming of Video Frames over Heterogeneous Wireless Network

2018 ◽  
Vol 7 (3.34) ◽  
pp. 226
Author(s):  
K Lavanya ◽  
Dr R.Kanthavel ◽  
Dr R.Dhaya
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Packet Loss ◽  
Video Data ◽  
Transport Layer ◽  
Transmission Protocol ◽  
Heterogeneous Wireless Network ◽  
Heterogeneous Environment ◽  
Video Frames

Transferring high quality video stream through a heterogeneous wireless network has many challenges due to the varying data rate and round trip time(RTT) involved in the network and the more stringent quality of service(QoS) requirements of the multimedia application such as on time delivery , minimum delay etc. User datagram protocol (UDP), a connectionless, unreliable transport protocol has been widely used for transferring video frames.UDP cannot guarantee reliable information delivery and  may lead to packet loss. The packet loss, increases with time varying bandwidth availability in the heterogeneous wireless networks. Transmission control protocol(TCP) can be an alternate transport layer protocol to provide reliable delivery of video information. But, using TCP for wireless networks has limitations due to misinterpretation of packet loss, frequent link failure, asymmetric link behaviour etc.,. which minimizes the throughput and in turn degrades the quality of the video frames transmitted. This paper analyses an efficient scheme to use Heterogeneous Environment Retransmission algorithm with SCTP (HERTS) to transfer video data in the heterogeneous environment. By using multi-homing and multi-streaming feature of Stream control transmission protocol (SCTP), the packet delivery rate, through put and delay requirements can be optimized. The transport layer model suggested in this paper aims at reducing the occupancy of the retransmitted packets in the link, by using a separate end to end path allotted for retransmission.  

Data Transmission Based on Guaranteeing QoS in Broadband Access Networks

2011 ◽  
Vol 225-226 ◽  
pp. 194-198
Author(s):  
Yan Zhang ◽  
Wen Yu Yu
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Access Networks ◽  
Cable Modem ◽  
Broadband Access ◽  
Quality Of Data ◽  
Transmission Scheme ◽  
Broadband Access Networks ◽  
Research Perspective

For the unsymmetrical bandwidth in HFC network, this paper proposes a data transmission scheme of Cable Modem based on DOCSIS1.1. This scheme can meet different kinds of data’s demands. It can guarantee fine grading data transmission management and low ratio of packet loss. Then, this paper proves the validity of the scheme. Lastly, in order to improve the quality of data transmission, it gives the difficulties and research perspective in the future.

scholarly journals QoS Analysis of Video Streaming in the UAV Networks with WiFi Standards

2021 ◽  
Vol 24 (4) ◽  
pp. 73-79
Author(s):  
Kirill Eduardovich Korepanov ◽  
Irina Alekseevna Kaisina ◽  
Roman Eduardovich Shibanov ◽  
Albert Vinerovich Abilov ◽  
Mohammed Amin Lamri
Keyword(s):  
Data Transmission ◽  
Transmission Rate ◽  
Video Stream ◽  
Video Data ◽  
Network Simulator ◽  
Coding Schemes ◽  
Ground Station ◽  
Transmission Parameters ◽  
Aerial Vehicle

The paper presents the results of simulation of the process of video data transmission from an unmanned aerial vehicle (UAV) to a ground station using the IEEE 802.11 family standards (802.11n, 802.11ac and 802.11ax), with the ability to change modulation indices, coding schemes and data transfer rate in a network simulator NS-3. The aim of the work is to analyze the characteristics of the quality of video data transmission in the UAV network for various Wi-Fi standards, which allows determining the most suitable standard for the transmission of video data in the UAV network, depending on the distances between nodes and the required frequency band. A scenario is considered in which an unmanned aerial vehicle (UAV) hovering in the air was transmitting a video stream to a ground station, while the distance between nodes increased, and the transmission rate was maintained at the same level close to the transmission rate of the real video stream. The simulation was carried out in several stages for a more detailed study of the dependence of the packet loss of the transmitted data on the change in modulation indices, coding schemes and other parameters. Based on the simulation results, the characteristics of the video data transmission quality were obtained as a relation between the Packet delivery rate (PDR) and distance between nodes for different transmission parameters for each considered standard of the IEEE 802.11 family. Based on the results obtained, conclusions were drawn about the influence of transmission parameters on the quality of service characteristics. The study was carried out in an open-source network simulator NS-3, which implements build-in libraries that are necessary for high-quality simulation of data streaming transmission and allows you to set a wide range of parameters to obtain realistic results. The results of the work may be of interest to UAV manufacturers when planning missions in which the choice of Wi-Fi standard used as a channel for transmitting video data is crucial.

Sign in / Sign up

Export Citation Format

Share Document