On the robust transmission technique for H.263 video data stream over wireless networks

2002 ◽  
Author(s):  
Han-Seung Jung ◽  
Rin-Chul Kim ◽  
Sang-Uk Lee
Keyword(s):  
Wireless Networks ◽  
Data Stream ◽  
Video Data ◽  
Transmission Technique ◽  
Robust Transmission

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.  

scholarly journals A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges

2020 ◽  
Author(s):  
Dianne Scherly Varela de Medeiros ◽  
Helio do Nascimento Cunha Neto ◽  
Martin Andreoni Lopez ◽  
Luiz Claudio Schara Magalhães ◽  
Natalia Castro Fernandes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Big Data ◽  
Wireless Network ◽  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Knowledge Extraction ◽  
Machine Learning Algorithms ◽  
Data Stream Processing

Abstract In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.

scholarly journals A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges

2020 ◽  
Author(s):  
Dianne Scherly Varela de Medeiros ◽  
Helio do Nascimento Cunha Neto ◽  
Martin Andreoni Lopez ◽  
Luiz Claudio Schara Magalhães ◽  
Natalia Castro Fernandes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Big Data ◽  
Wireless Network ◽  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Knowledge Extraction ◽  
Machine Learning Algorithms ◽  
Data Stream Processing

Abstract In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.

scholarly journals Using GMSL Technology for Transmitting Stream of High-Quality Video Data

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Bohdan Andriiovych Ponomarenko
Keyword(s):  
Data Transmission ◽  
Electromagnetic Interference ◽  
Data Stream ◽  
Transmission Rate ◽  
Video Camera ◽  
Video Data ◽  
Clock Signal ◽  
Gigabit Ethernet ◽  
Advantages And Disadvantages ◽  
Camera Module

The article is devoted to the description and research of technologies for data flow transmission from video cameras designed for use in modern cars. The paper provides a theoretical analysis of the most popular wired and wireless data streaming technologies, such as Gigabit Ethernet and Wi-Fi. Analysis of the most important characteristics showed, that the mentioned technologies are not effective due to their significant shortcomings, which are critical in the production of cars, and will not allow their usage. The main disadvantages of Gigabit Ethernet technology are the lack of guarantees of full delivery of transmitted data. Given that the data obtained can be used for self-driving control systems, the technology cannot be used for transmitting the data stream to the camera, as there will be a possibility of endangering the safety of the passenger and accidents to the vehicle. Disadvantages of Wi-Fi technology include low data rates and lack of reliable protection against electromagnetic interference. Given the advantages and disadvantages of the above technologies, it was decided to abandon the possibility of their usage and consider suitable options. It is shown, that in the considered conditions, the most expedient solution for data transmission from the video camera is GMSL technology, which makes it possible to significantly increase the resistance to electromagnetic interference, the overall transmission rate, and the quality of the transmitted data. The technical features of GMSL technology, in particular SerDes technology, which is one of the main components of the above technology, are considered. For SerDes technology, the process and features of converting a parallel data stream into a serial, data transmission, and inverse data conversion into a parallel form are described. The usage of this technology makes it possible to transmit data over a distance of up to 15 meters (without significant loss of quality). Described is a method of encoding input data in the format 8b/10b. This encoding makes it possible to ensure the stability of data transmission and their overall resistance to electromagnetic interference. This is achieved by noise of the useful carrier signal. Describes the possibility of restoring the clock signal using the CDR block after receiving data on the differential pair, as it does not contain a separate line for this signal. At the same time the problem of current and voltage balance is solved. The methods of controlling the video camera module and SerDes components using I2C and UART interfaces are shown. The peculiarity of the control signals is that they can be directed in different directions due to the duplex transmission channel. The expediency of using GMSL technology in a device that implements data transmission from the camera module is considered. The advantages of using the described technology and their compliance with the established requirements are given. It is proposed to implement the ability to control the mode of operation of the camera from the control device using GMSL technology.

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