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Journal articles on the topic 'Multiplexed Wireless Video Transmission'

Author: Grafiati

Published: 3 June 2025

Last updated: 13 July 2025

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1

Li, Chuanfeng, Yunxing Shu, and Mingming Zhao. "Design of Intelligent Surveillance System Based on Wireless Video Transmission and PID Multiplexed Control Strategy." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 467–73. http://dx.doi.org/10.2174/1874129001509010467.

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A kind of wireless video transmission intelligence surveillance system is developed to perform work normally done by human being in hazardous environment, narrow space, as well as chemical and toxic places. This system consists of two main parts: a host computer with monitoring software and a mobile intelligent vehicle. The host computer software can provide real-time display of video, temperature, humidity, light intensity and other environmental information collected by the intelligent vehicle, and can control the movement direction, movement speed of the intelligent vehicle as well as the camera platform angle with control buttons. The vehicle can collect images and sensor data, and transmit them to the host computer via wireless fidelity (WIFI). The speed of intelligent vehicle is regulated by joint control of position type proportion integration differentiation (PID) and bang-bang control strategy. The video is captured by universal serial bus (USB) interface camera, and transmitted to the host computer by WIFI for real-time display. The testing results show that the system can not only display clear video images, but also accurately display the dynamic data of sensors. At the same time, the host computer can reliably control the multi-directional movement, grabbing obstacles and changing camera platform angle of the intelligent vehicle.

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2

Cherriman, P., T. Keller, and L. Hanzo. "Orthogonal frequency-division multiplex transmission of H.263 encoded video over highly frequency-selective wireless networks." IEEE Transactions on Circuits and Systems for Video Technology 9, no. 5 (1999): 701–12. http://dx.doi.org/10.1109/76.780360.

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3

Cvijetic, N., Dayou Qian, Jianjun Yu, Yue-Kai Huang, and Ting Wang. "Polarization-Multiplexed Optical Wireless Transmission With Coherent Detection." Journal of Lightwave Technology 28, no. 8 (2010): 1218–27. http://dx.doi.org/10.1109/jlt.2010.2044017.

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4

Wang, Jiangzhou, Mingxi Fan, Xiao You, et al. "Guest editorial: Wireless video transmission." IEEE Journal on Selected Areas in Communications 28, no. 3 (2010): 297–98. http://dx.doi.org/10.1109/jsac.2010.100401.

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5

Qiao, Shou Ling. "Wireless Network Video Collection and Transmission Based on ARM." Applied Mechanics and Materials 462-463 (November 2013): 647–49. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.647.

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Wireless video collection and transmission system has been widely used in many remote video monitoring system and portable equipment. This system was to use S3C2440 as the main control chip, through the Z301P for camera collection video, and through the wireless network card RT3070 chips for video wireless transmission. We uploaded collected video to Mozilla Firefox, and then wireless network video collection and transmission system was built quickly.

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6

Sun, Ke Mei. "Wireless Image Transmission System." Applied Mechanics and Materials 336-338 (July 2013): 1661–64. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1661.

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A wireless image transmission system is proposed, which in order to offset the disadvantages of wire video monitor laying points hard, and disadvantages of wire video monitor implementing hard in bad circumstance. The core of the system is TI series of C5000 high speed DSP processor and radio frequency wireless communication chip. Through DSP transplantation of JPEG compression algorithm, complete image collection and image compression through DSP, use wireless receiving and sending module to complete wireless images data transmission. Use wireless receiving and sending module instead of emitter and network as image data transmission device, low cost, not required network fee, system can real-time complete terminal images collection and show. It can apply community guard and video monitor of deploying points urgently in the electric power system, factory, bank and other important department, which dont require higher performance.

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7

Liu, Li Qiang, Yue Bing Wang, and Quan Feng Yan. "Video Quality Evaluation for H.264 Video Streaming over Wireless Networks." Advanced Materials Research 760-762 (September 2013): 639–42. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.639.

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With the rapid development of computer technology and wireless network communication technology, video encoding technology will be more and more widely applied in the limited resources of the wireless network. Due to the large amount of data of the video transmission , transmission quality of transmit video on the wireless network are varied with different compression parameters, network parameters and network conditions. Simulation results show that the transmission of video over wireless networks, must be based on the current network conditions, choosing the suitable GOP length and quantitative parameters to get the high image quality. In specific applications, network topology, network bandwidth, routing technology and transmission of packet segmentation scheme and other factors will affect the quality of service for video services.

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Wang, Kun Qi, Lei Xiong, Bao Chen Yang, and Chen Cong Meng. "Video Transmission Control System Based on 3G Wireless Network." Applied Mechanics and Materials 423-426 (September 2013): 2621–24. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2621.

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A wireless video transmission system is put forward in this paper. It is constituted by 3G wireless networks and ARM11. Collecting video data is used by V4L2 technology, and the H.264 video codec is used by S3C6410 processors the MFC module. The video codec is sent to remote monitoring center via 3G wireless network. The System can complete video capture, coding, wireless transmission and decoding, and displaying on the LCD. The experiment show the system can achieve wireless remote monitoring.

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9

Xiong, Xiao Yun, Bing Wang, and De Xing Wang. "Study on Adaptive QoS Solution of Real-Time Video Stream in Wireless Network." Advanced Materials Research 532-533 (June 2012): 1124–29. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1124.

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With the rapid development of wireless network technology, wireless networks have been widely used in many fields due to the flexibility of wireless access. However, in the field of video transmission, because the link state is instability and the transmission is easily interfered in wireless networks, the quality of video transmission is affected badly. In fading and shadowing channels, some users can’t watch the video normally. This paper provides an adaptive QoS solution of real-time video stream in wireless network, by adding a relay server it can provide multicast or unicast video stream satisfying multiple QoS for users with different network state. This solution has been successfully applied in Qingdao Public safety emergency video surveillance system.

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10

Van Dyck, R. E., and H. V. Ganti. "Wavelet video transmission over wireless channels." Signal Processing: Image Communication 12, no. 2 (1998): 135–45. http://dx.doi.org/10.1016/s0923-5965(96)00061-6.

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11

Ferre, P., A. Doufexi, J. Chung-How, A. R. Nix, and D. R. Bull. "Robust Video Transmission Over Wireless LANs." IEEE Transactions on Vehicular Technology 57, no. 4 (2008): 2596–602. http://dx.doi.org/10.1109/tvt.2007.909258.

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12

Makiyah, Estabraq, and Nassr N. Khamees. "VOXEL Video Streaming Over Wireless Networks." Iraqi Journal of Information and Communication Technology 7, no. 2 (2024): 1–13. http://dx.doi.org/10.31987/ijict.7.2.244.

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High-density point clouds expressing attractive 3D images are attracting attention. These gigantic media require large bandwidth allocations, making them problematic to stream to resource-constrained hand-held devices. This paper proposes a method for point cloud compression and streaming of large point clouds using a web server. Storing large point cloud videos on a web server allows users to publish data sets without using additional applications or sending large amounts of data ahead of time. HTTP/2 improves transfer efficiency by compressing headers into binary format and reduces latency by sending many multiplexed requests using a single TCP session. The large size of the point cloud data and the current limitations of wireless channels demand point cloud compression methods. MATLAB is used for the purpose of analysis, at results show an average compression ratio of 30:1. Our proposed system achieves lower average latency between successive frames resulting in an increased frame rate to 72.46 fps when streaming 4M points, and 82.51 fps in the case of streaming 800K points compared to much lower rates in conventional work.

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13

Ma, Cong, and Wonjun Chung. "Visual Communication Design Based on Collaborative Wireless Communication Video Transmission." Journal of Sensors 2022 (January 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/5348222.

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With the development of wireless communication technology, video and multimedia have become an integral part of visual communication design. Designers want higher interactivity, diversity, humanization, and plurality of attributes in the process of visual communication. This makes the process of visual communication have high requirements for the quality and real-time data transmission. To address the problem of transmitting HD video in a heterogeneous wireless network with multiple concurrent streams to improve the transmission rate and thus enhance the user experience, with the optimization goal of minimizing the system transmission delay and the delay difference between paths, the video sender and receiver are jointly considered, and the video transmission rate and the cache size at the receiver are adaptively adjusted to improve the user experience, and a cooperative wireless communication video transmission based on the control model for video transmission based on cooperative wireless communication is established, and video streams with self-similarity and long correlation are studied based on Pareto distribution and P / P / l queuing theory, based on which an adaptive streaming decision method for video streams in heterogeneous wireless networks is proposed. Simulation results show that the proposed multistream concurrent adaptive transmission control method for heterogeneous networks is superior in terms of delay and packet loss rate compared with the general load balancing streaming decision method, in terms of transmission efficiency and accuracy.

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14

Wang, Yue Bin, Li Qiang Liu, and Quan Feng Yan. "Communication Performance Research for Online Video over Wireless Multimedia Network." Advanced Materials Research 760-762 (September 2013): 643–46. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.643.

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This paper analyzed the communication performance to implement video coding and transmission in the limited resources of wireless network. Meanwhile, the effect of GOP, quantification and loss probabilities to transmission quality in multimedia communication is discussed, and the correlation between those relevant parameters and transmission quality of multimedia video is analyzed by simulation. The simulation results show that the transmission quality of multimedia video in wireless network varies with the compression parameters, network parameters, and network conditions. Thus, video transmission over wireless network, it should consider the network conditions, as well as appropriate length of the GOP and quantification parameters for better reconstructed images.

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15

Yang, Liu Qing. "Forest Fire Prevention Video Data Transmission System Design Based on Wireless Mesh Network." Applied Mechanics and Materials 713-715 (January 2015): 1061–67. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1061.

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For forest fire prevention video monitoring data collection requirements,making video data collecting transmission system design based on wireless mesh network;including design standards and principles,design solutions and wireless network video monitoring system design;On the use of standards,working frequency,network infrastructure, coverage solutions,link budget,frequency planning, equipment power supply,supporting transmission and AC design describes the design proposal,proposed overall solution on wireless mesh network digital video system and applied to practical forest fire prevention wireless network video monitoring system,and achieved practical application of research results.

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16

Zhou, Yun. "A Video Compression Method for Wireless Transmission." Advanced Materials Research 532-533 (June 2012): 1167–71. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1167.

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With the ever-increasing expansion of wireless voice and data plan demands, bandwidth constrained wireless channels intervened with mobility issues lay out a great challenge in the hardware configuration, software development and algorithm design of communication systems. This paper presents our work on a modular and standards-independent DSP-based testbed designed for real-time video communication over low-bandwidth channels. In particular, the real-time transmission of MPEG-4 video and JPEG2000 still images over the Bluetooth wireless standard is demonstrated here. The testbed was designed to explore the possibilities, demands, and challenges of real-time wireless video transmission. The work could have tremendous near-future applications.

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17

Țurcanu, Dinu, and Tatiana Țurcanu. "OPTIMIZATION OF VIDEO TRANSMISSION QUALITY IN WIRELESS NETWORKS." JOURNAL OF ENGINEERING SCIENCE 30, no. 4 (2024): 75–85. http://dx.doi.org/10.52326/jes.utm.2023.30(4).06.

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The transmission of video stream over wireless networks is used by many applications and services, from the use of equipment in home communication networks to those carrying the video surveillance stream. Numerous technical challenges may arise when the unpredictable characteristics of the radio channel align or do not align with the stipulated requirements for transmission bandwidth and the necessary latency for transporting video data. All these challenges prevent users from experiencing smooth video streaming. Depending on the application scenarios, video service emphasis may vary according of Quality of Experience - QoE or parameter used traditionally in the networks, Quality of Service - QoS. The purpose of the research consists in optimization of the flow service, which ensures the adaptability of video communication to changes of conditions over the wireless computer network. As a result of a thorough analysis of the video playback characteristics related to the wireless channel, the most optimal approach in optimizing the quality of the video stream service over a wireless LAN requiring minimal modifications was identified, and namely system centric approach.

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18

Lu, Jingrong, and Hongtao Gao. "Online Teaching Wireless Video Stream Resource Dynamic Allocation Method considering Node Ability." Scientific Programming 2022 (January 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/4391188.

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At present, wireless network technology is advancing rapidly, and intelligent equipment is gradually popularized, which rapidly developed the mobile streaming media business. All kinds of mobile video applications have enriched people’s lives by carrying huge traffic randomly. Wireless networks (WNs) are facing an unprecedented burden, which allocates very important wireless video resources. Similarly, in WNs, the network status is dynamic and the terminal is heterogeneous, which causes the traditional video transmission system to fail to meet the needs of users. Hence, Scalable Video Coding (SVC) has been introduced in the video transmission system to achieve bit rate adaptation. However, in a strictly hierarchical traditional computer network, the wireless resource allocation strategy usually takes throughput as the only way to optimize the target, and it is terrible to make more optimizations for scalable video transmission. This article proposed a cross-layer design to enable information to be transmitted between the wireless base station and the video server to achieve joint optimization. To improve users’ satisfaction with video services, the wireless resource allocation problem and the video stream scheduling problem are jointly considered, which keep the optimization space larger. Based on the proposed architecture, we further study the design of wireless resource allocation algorithms and rate-adaptive algorithms for the scenario of multiuser transmission of scalable video in the Long-Term Evolution (LTE) downlink. Experimental outcomes have shown substantial performance enhancement of the proposed work.

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19

Yang, Liu-qing, and Guo’an Zhang. "Design of a Video Data Sampling and Transmission System Based on Wireless Mesh Network." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 355–62. http://dx.doi.org/10.2174/1874129001509010355.

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A video data sampling and transmission system is designed for video monitoring based on wireless mesh network. Discussion is made on the use of standards, working frequency, network infrastructure, coverage solutions, link budget, frequency planning, power supply, supporting transmission and AC design. Overall solution on wireless Mesh network digital video system is proposed and it is applied to practical wireless network video monitoring system, and good results are achieved through practical application.

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20

Chen, Hao, Zhongnan Qian, Chengyin Liu, Jiande Wu, Wuhua Li, and Xiangning He. "Time-Multiplexed Self-Powered Wireless Current Sensor for Power Transmission Lines." Energies 14, no. 6 (2021): 1561. http://dx.doi.org/10.3390/en14061561.

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Current measurement is a key part of the monitoring system for power transmission lines. Compared with the conventional current sensor, the distributed, self-powered and contactless current sensor has great advantages of safety and reliability. By integrating the current sensing function and the energy harvesting function of current transformer (CT), a time-multiplexed self-powered wireless sensor that can measure the power transmission line current is presented in this paper. Two operating modes of CT, including current sensing mode and energy harvesting mode, are analyzed in detail. Through the design of mode-switching circuit, harvesting circuit and measurement circuit are isolated using only one CT secondary coil, which eliminates the interference between energy harvesting and current measurement. Thus, the accurate measurement in the current sensing mode and the maximum energy collection in the energy harvesting mode are both realized, all of which simplify the online power transmission line monitoring. The designed time-multiplexed working mode allows the sensor to work at a lower transmission line current, at the expense of a lower working frequency. Finally, the proposed sensor is verified by experiments.

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21

Țurcanu, Dinu, and Tatiana Țurcanu. "The optimization of video transmission quality in wireless networks." Journal of Engineering Science 30, no. 4 (2024): 75–85. https://doi.org/10.52326/jes.utm.2023.30(4).06.

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The transmission of video stream over wireless networks is used by many applications and services, from the use of equipment in home communication networks to those carrying the video surveillance stream. Numerous technical challenges may arise when the unpredictable characteristics of the radio channel align or do not align with the stipulated requirements for transmission bandwidth and the necessary latency for transporting video data. All these challenges prevent users from experiencing smooth video streaming. Depending on the application scenarios, video service emphasis may vary according of Quality of Experience - QoE or parameter used traditionally in the networks, Quality of Service - QoS. The purpose of the research consists in optimization of the flow service, which ensures the adaptability of video communication to changes of conditions over the wireless computer network. As a result of a thorough analysis of the video playback characteristics related to the wireless channel, the most optimal approach in optimizing the quality of the video stream service over a wireless LAN requiring minimal modifications was identified, and namely system centric approach.

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22

Shi, Xin Jun, Xi En Ye, and Chang Ye Li. "WiFi Wireless Video Transmission Technology's Application in Intelligent Home." Advanced Materials Research 846-847 (November 2013): 1487–90. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1487.

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This Paper takes WiFi wireless video transmission as the technical basis, realized a remote WiFi video system through embedded Linux system, and successfully applyed it in the intelligent home control.The WiFi module is based on IEEE802.11n wireless protocol, which improves the highest transmission rate to 300 Mbps. Wireless camera capture video data and use H.264 to encode it, which greatly reduces the consume of the wireless bandwidth.The PDA terminal is implemented to comunicate with embedded Linux system via TCP/IP protocol, while the data is encrypted by TLS/SSL protocol.

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23

Rajesh. "Fuzzy Logic Controller for Wireless Video Transmission." Journal of Computer Science 7, no. 7 (2011): 1119–27. http://dx.doi.org/10.3844/jcssp.2011.1119.1127.

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24

Gong, Chen, and Xiaodong Wang. "Adaptive Transmission for Delay-Constrained Wireless Video." IEEE Transactions on Wireless Communications 13, no. 1 (2014): 49–61. http://dx.doi.org/10.1109/twc.2013.112613.121033.

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25

Stockhammer, T., and M. M. Hannuksela. "H.264/AVC video for wireless transmission." IEEE Wireless Communications 12, no. 4 (2005): 6–13. http://dx.doi.org/10.1109/mwc.2005.1497853.

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26

Kumar, G. Vijay, and Y. Anjani. "Application of Error-resilient Transmission of Sleep Apnea Patient Video with Sound over Mobile Network." International Journal of Emerging Research in Management and Technology 6, no. 11 (2018): 81. http://dx.doi.org/10.23956/ijermt.v6i11.50.

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Mobile video-audio transmission systems have delivered patient video with relevant snoring sound to quantify the severity of the sleep apnea patient over wireless networks, but few have optimized video-audio transmission in combination with transmission protocol over error-prone environments using wireless links. In this paper, the performance of the MPEG (Motion Picture Expert Group)-4 error resilient tools with UDP(User Datagram Protocol) protocol were evaluated over a wireless network to suggest the optimum combination of MPEG-4 error resilient tools and UDP packet size suitable for real-time transmission of video-audio transmission over error-prone mobile networks. Through experimentation, it was found that the packet size should correspond to IP(Internet Protocol) datagram size minus UDP and IP header for optimal video-audio quality. Also, for error resilient tool selection, the combination of resynchronization marker and data partitioning showed the best performance.

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27

Lee, Sangjae, Youngae Jeon, Sangsung Choi, Man Han, and Kyoungrok Cho. "Gigabit UWB video transmission system for wireless video area network." IEEE Transactions on Consumer Electronics 57, no. 2 (2011): 395–402. http://dx.doi.org/10.1109/tce.2011.5955172.

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Dr.Ruksar, Fatima Mr.Vinay Warad. "A SURVEY ON SCALABLE VIDEO CODING APPROACH FOR WIRELESS VIDEO TRANSMISSION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 11 (2017): 83–89. https://doi.org/10.5281/zenodo.1042082.

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Wireless Ad Hoc Networks are characterized by their ability to communicate amongst one another independently of any existent infrastructure. Such networks could be vital for multiple applications like medical applications, for emergency applications, rescue operations to name a few. Support for multimedia applications over wireless ad hoc networks has gained tremendous momentum in the past decade. The survey presented here is primarily targeted towards realization of real time video communication in wireless ad hoc networks. When any video is transmitted from a transmitter to a receiver in any wireless network, various video packets may be lost due to channel errors, transmission errors or low bandwidth. Active video communications are time critical and to attain the required Quality of Service it is essential to minimize the packet loss. In such a scenario, a client joining the broadcast service only requests the scalable layers, which provide either a signal that the device is capable or chooses to process. From the past industrial result it is seen that the transmission of multiple video signals using SVC is much more efficient in terms of bit-rate compared to simulcast transmission.As the video stream is passed from one node to another, in order to reduce the packet losses in the transmission path, several frames are introduced through which transmissions are to take place. The video streams are made to pass through this frames

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Ilic, S., B. Jaksic, M. Petrovic, A. Markovic, and V. Elcic. "Analysis of Video Signal Transmission Through DWDM Network Based on a Quality Check Algorithm." Engineering, Technology & Applied Science Research 3, no. 2 (2013): 416–23. http://dx.doi.org/10.48084/etasr.293.

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This paper provides an analysis of the multiplexed video signal transmission through the Dense Wavelength Division Multiplexing (DWDM) network based on a quality check algorithm, which determines where the interruption of the transmission quality starts. On the basis of this algorithm, simulations of transmission for specific values of fiber parameters are executed. The analysis of the results shows how the BER and Q-factor change depends on the length of the fiber, i.e. on the number of amplifiers, and what kind of an effect the number of multiplexed channels and the flow rate per channel have on a transmited signals. Analysis of DWDM systems is performed in the software package OptiSystem 7.0, which is designed for systems with flow rates of 2.5 Gb/s and 10 Gb/s per channel.

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Rantelobo, Kalvein, Hendro Lami, and Wirawan Wirawan. "Video Transmission using Combined Scalability Video Coding over MIMO-OFDM Systems." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 2 (2016): 390. http://dx.doi.org/10.11591/ijeecs.v4.i2.pp390-396.

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<p><em>The needs of efficient bandwidth utilization and method to handle bandwidth fluctuation condition of wireless channel have become fundamental problems in video transmission. This research</em><em> proposed </em><em>Combined Scalable Video Coding (CSVC) that refers to Joint Scalable Video Model (JSVM), i.e. development of video coding H.264/AVC by exploiting scalable combination method using Medium Grain Scalability (MGS) on wireless channel of MIMO-OFDM (Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) technology. Th</em><em>e</em><em> research shows that the scalable combination method can be implemented on the scenario for wireless transmission on multicast network. Experimental results show</em><em> </em><em>that the delivered quality is close to the alternative traditional simulcast delivery mechanism in MIMO-OFDM systems.</em></p>

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Li, Jinwang, Haifeng Yao, Keyan Dong, et al. "Performance Exploration of Optical Wireless Video Communication Based on Adaptive Block Sampling Compressive Sensing." Photonics 11, no. 10 (2024): 969. http://dx.doi.org/10.3390/photonics11100969.

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Optical wireless video transmission technology combines the advantages of high data rates, enhanced security, large bandwidth capacity, and strong anti-interference capabilities inherent in optical communication, establishing it as a pivotal technology in contemporary data transmission networks. However, video data comprises a large volume of image information, resulting in substantial data flow with significant redundant bits. To address this, we propose an adaptive block sampling compressive sensing algorithm that overcomes the limitations of sampling inflexibility in traditional compressive sensing, which often leads to either redundant or insufficient local sampling. This method significantly reduces the presence of redundant bits in video images. First, the sampling mechanism of the block-based compressive sensing algorithm was optimized. Subsequently, a wireless optical video transmission experimental system was developed using a Field-Programmable Gate Array chip. Finally, experiments were conducted to evaluate the transmission of video optical signals. The results demonstrate that the proposed algorithm improves the peak signal-to-noise ratio by over 3 dB compared to other algorithms, with an enhancement exceeding 1.5 dB even in field tests, thereby significantly optimizing video transmission quality. This research contributes essential technical insights for the enhancement of wireless optical video transmission performance.

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Luo, Hongli. "A Cross-Layer Design for Video Streaming Over 802.11e HCCA Wireless Network." International Journal of Multimedia Data Engineering and Management 2, no. 3 (2011): 21–33. http://dx.doi.org/10.4018/jmdem.2011070102.

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Video transmission over wireless networks has quality of service (QoS) requirements and the time-varying characteristics of wireless channels make it a challenging task. IEEE 802.11 Wireless LAN has been widely used for the last mile connection for multimedia transmission. In this paper, a cross-layer design is presented for video streaming over IEEE 802.11e HCF Controlled Channel Access (HCCA) WLAN. The goal of the cross-layer design is to improve the quality of the video received in a wireless network under the constraint of network bandwidth. The approach is composed of two algorithms. First, an allocation of optimal TXOP is calculated which aims at maintaining a short queuing delay at the wireless station at the cost of a small TXOP allocation. Second, the transmission of the packets is scheduled according to the importance of the packets in order to maximize the visual quality of video. The approach is compared with the standard HCCA on NS2 simulation tools using H.264 video codec. The proposed cross-layer design outperforms the standard approach in terms of the PSNRs of the received video. This approach reduces the packet loss to allow the graceful video degradation, especially under heavy network traffic.

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Moid, Azfar, and Abraham O. Fapojuwo. "A Cross-Layer Framework for Efficient Streaming of H.264 Video over IEEE 802.11 Networks." Journal of Computer Systems, Networks, and Communications 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/682813.

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This paper presents a framework for reliable and efficient streaming of H.264 video over an IEEE 802.11-based wireless network. The framework relies on a cross-layer mechanism that jointly adapts the video transcoding parameters at the application layer and the video transmission parameters at the data-link layer to the network conditions defined by buffer length and wireless propagation channel. The effectiveness of the proposed framework is demonstrated through the transmission of three test video sequences (Akiyo, Container, andForeman) having different degrees of motion over an IEEE802.11 wireless network. Simulation results show that the proposed cross-layer-based framework provides an enhancement of up to 3 dB in the video quality with a negligible increase (<5%) in the packet processing time. Hence, the proposed framework achieves a good balance in the tradeoff between video quality and packet processing time. The proposed framework, along with its performance results, provides valuable insights on the selection of network parameter values for efficient and reliable transmission of video applications in wireless networks.

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Yan, Ying Zhan, Ling Peng, and Song Fa Huang. "Design of Hi3510-Based Embedded Wireless Video Monitoring System." Advanced Materials Research 189-193 (February 2011): 3605–11. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3605.

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To meet the needs of video monitoring applications, the paper researches and designs of Hi3510-based embedded wireless video monitoring systems.The systems uses H.264 for video data encoding, combining Hi3510 encoding API to adjust H.264 rate control dynamically. Based on real-time transmission control RTP / RTCP protocol, in order to achieve adaptability and guarantee the QoS of the real-time transmission, this paper presents variable constant growth and change constant reduction method to adjust the transmission speed dynamically. In addition, this paper processes the packet loss during transmission processing, trying to ensure the I-frame reliable transmission. To transplant DWL-G122 wireless network card, it can realize communication.

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Ghotbi, Iman, and Hossein Sarfaraz. "Multiple‐load wireless power transmission system through time‐division multiplexed resonators." International Journal of Circuit Theory and Applications 49, no. 5 (2021): 1225–43. http://dx.doi.org/10.1002/cta.2939.

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Sodhro, Ali Hassan, Li Chen, Aicha Sekhari, Yacine Ouzrout, and Wanqing Wu. "Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks." International Journal of Distributed Sensor Networks 14, no. 1 (2018): 155014771775003. http://dx.doi.org/10.1177/1550147717750030.

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This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.

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Li, Shenghui, and Wenmin Wang. "Communication Audio and Video Coding and Decoding Methods in Wireless Cooperative Communication Network." Mobile Information Systems 2022 (April 22, 2022): 1–6. http://dx.doi.org/10.1155/2022/1587662.

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Wireless communication is ubiquitous in people’s daily life. As people’s requirements for wireless communication continue to increase, how to improve system performance has become a core issue that communication researchers pay attention to. Wireless cooperative communication is considered to be a key technology in the future communication system because it can provide better communication quality, higher system capacity, wider communication coverage, richer services, and high spectrum utilization efficiency. The proposed network coding can effectively eliminate the transmission bottleneck problem faced by wireless cooperative communication. The development of audio and video communication coding technology has increased the demand for audio and video communication services. The goal of audio and video coding is shifting from traditional storage applications to network transmission. Therefore, the audio and video coding technology for network transmission is being affected by academia and industry. The purpose of this paper is to study the communication audio and video codec methods in wireless cooperative communication networks and to understand the development status of audio and video codec by reading a large number of related documents. On the basis of the problem, relevant experiments are designed to conduct in-depth research. Experimental results show that this scheme can simplify the implementation of scalable coding, improve the coding efficiency of the enhancement layer, and improve the quality of the reconstructed video when the audio and video streams are truncated.

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Panayides, A., M. S. Pattichis, C. S. Pattichis, and A. Pitsillides. "A Tutorial for Emerging Wireless Medical Video Transmission Systems [Wireless Corner]." IEEE Antennas and Propagation Magazine 53, no. 2 (2011): 202–13. http://dx.doi.org/10.1109/map.2011.5949369.

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Sendrei, Lukáš, Ján Valiska, and Stanislav Marchevský. "H.264 Video Transmission over Wlan in Opnet Modeller." Journal of Electrical Engineering 64, no. 2 (2013): 112–17. http://dx.doi.org/10.2478/jee-2013-0016.

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One of the biggest challenges of communication networks is the video transmission in real time. It requires high demands on the available network capacity and transport mechanisms. Availability of smart mobile devices with batteries, which keep the terminal working for several hours, caused an increased interest in the research of the deployment of video transmission in wireless transmission systems. The presented paper deals with the transmission of video encoded with H.264/AVC (Advanced Video Coding) video coding standard through wireless local area network (WLAN) using the programming environment OPNET Modeller (OM). The test network studied in this work was prepared by combining real and simulated networks, which allows interesting possibilities when working with the OM tools. Such an approach to working with OM allows a detailed video streaming analysis, because the video output was noticeably not only in the form of statistics, but we can see the real impact of transmission failures. Using the OM simulation environment allows to design the transmission systems, which would be difficult to establish in laboratory conditions.

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Kinder, Rudolf, Miroslav Mikolášek, Daniel Donoval, Jaroslav Kováč, and Marek Tlaczala. "Measurement Systemwith Hall and a Four Point Probes for Characterization of Semiconductors." Journal of Electrical Engineering 64, no. 2 (2013): 106–11. http://dx.doi.org/10.2478/jeec-2012-0015.

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One of the biggest challenges of communication networks is the video transmission in real time. It requires high demands on the available network capacity and transport mechanisms. Availability of smart mobile devices with batteries, which keep the terminal working for several hours, caused an increased interest in the research of the deployment of video transmission in wireless transmission systems. The presented paper deals with the transmission of video encoded with H.264/AVC (Advanced Video Coding) video coding standard through wireless local area network (WLAN) using the programming environment OPNET Modeller (OM). The test network studied in this work was prepared by combining real and simulated networks, which allows interesting possibilities when working with the OM tools. Such an approach to working with OM allows a detailed video streaming analysis, because the video output was noticeably not only in the form of statistics, but we can see the real impact of transmission failures. Using the OM simulation environment allows to design the transmission systems, which would be difficult to establish in laboratory conditions.

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Yue, Ya Jie, Xiao Jing Zhang, and Chen Ming Sha. "The Design of Wireless Video Monitoring System Based on FPGA." Advanced Materials Research 981 (July 2014): 612–15. http://dx.doi.org/10.4028/www.scientific.net/amr.981.612.

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The wireless video monitoring system contains the video acquisition device,video transmission device,video storage device and VGA display device.In this paper,we use video acquisition device to collect video siganals in real-time.The analog video signal is transmitted by using wireless technology.The video signal is converted to a digital signal by using the dedicated A/D chip. At the same time ,the YCrCb signals will be converted into RGB signals by the format converting module.Then,the digital RGB signals are converted to analog RGB signals through the D/A,and they are finally displayed on the VGA monitor in real-time.The design mainly uses the wireless transmission technology to transmit analog video signals and uses ADV7181 to decode.The controlling system of FPGA deals with the decoded digital signals which will be transmitted to the D/A and the data finally will display in real time.

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Huan, Shi Yu. "The System Design of Wireless Video Transmission Based on PTZ Control." Advanced Materials Research 1006-1007 (August 2014): 723–26. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.723.

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Along with the rapid expansion of automation, communication, the Internet of things technology, and video image processing technology, the wireless video transmission technology based on the embedded system is becoming increasingly more mature. In this paper, what has been designed and managed to be perfectly applied is a transmission system of high reliability and convenience which based on the technique of pan-tilt control and integrated the technology of wireless LAN, embedded technology, video transmission technology. The paper briefly introduces the research background of the system, current research status at home and abroad, the development trend and the significance of this design project. What is more is that the article goes through the hardware and software design of the pan-tilt control circuit and software of real-time video transmission in a detailed way. The biggest is that this project has made the real-time video transmission in the local area network came true and you can check the real-time dynamic video images by browsing the web through you mobile phone.

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Tu-Chih Wang, Hung-Chi Fang, and Liang-Gee Chen. "Low-delay and error-robust wireless video transmission for video communications." IEEE Transactions on Circuits and Systems for Video Technology 12, no. 12 (2002): 1049–58. http://dx.doi.org/10.1109/tcsvt.2002.806807.

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Gharavi, H., and S. M. Alamouti. "Video transmission for third generation wireless communication systems." Journal of Research of the National Institute of Standards and Technology 106, no. 2 (2001): 455. http://dx.doi.org/10.6028/jres.106.020.

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Rantelobo, Kalvein, Wirawan Wirawan, Gamantyo Hendrantoro, and Achmad Affandi. "Combined Scalable Video Coding Method for Wireless Transmission." TELKOMNIKA (Telecommunication Computing Electronics and Control) 9, no. 2 (2011): 295. http://dx.doi.org/10.12928/telkomnika.v9i2.700.

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Kuwahara, M., and K. Yoneyama. "A portable camcorder/server for wireless video transmission." IEEE Transactions on Consumer Electronics 51, no. 2 (2005): 351–56. http://dx.doi.org/10.1109/tce.2005.1467970.

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Shida, T., T. Sato, H. Nakayama, H. Kosaka, and K. Sugiyama. "Robust HD Video Stream Transmission for Wireless DTV." IEEE Transactions on Consumer Electronics 53, no. 1 (2007): 96–99. http://dx.doi.org/10.1109/tce.2007.339508.

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Zhao, Jing, Ruiqin Xiong, and Jizheng Xu. "OmniCast: Wireless Pseudo-Analog Transmission for Omnidirectional Video." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, no. 1 (2019): 58–70. http://dx.doi.org/10.1109/jetcas.2019.2898750.

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Batra, Pankaj, and Shih-Fu Chang. "Effective algorithms for video transmission over wireless channels." Signal Processing: Image Communication 12, no. 2 (1998): 147–66. http://dx.doi.org/10.1016/s0923-5965(97)00062-3.

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Liu, Hang, and Magda El Zarki. "Transmission of video telephony images over wireless channels." Wireless Networks 2, no. 3 (1996): 219–28. http://dx.doi.org/10.1007/bf01201055.

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