Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Advances in Multi-Media Network Transmission
share announcement

Advances in Multi-Media Network Transmission

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 13021

Special Issue Editors

Dr. Bo Zhang

E-Mail Website
Guest Editor
School of Software, Zhengzhou University, Zhengzhou 450000, China
Interests: multimedia transmission; wireless live streaming; edge computing; multimedia mining; surveillance video processing
Special Issues, Collections and Topics in MDPI journals
Dr. Xun Shao

E-Mail Website
Guest Editor
Division of Information and Communication Engineering, Kitami Institute of Technology, Kitami, Japan
Interests: computer networks; cloud computing; distributed systems
Special Issues, Collections and Topics in MDPI journals
Dr. Zhi Liu

E-Mail Website
Guest Editor
Department of Computer and Network Engineering, The University of Electro-Communications, Tokyo, Japan
Interests: information network; communication/network engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multimedia comprise a paradigm of media combinations including texts, images, audios, videos, and interactive contents. With the continuous and exponential growth of both the variety of multimedia applications and sheer data volume, existing backbone networks and edge links are experiencing difficulties in coping with the traffic load. The ever-growing demand on multimedia qualities yields further requirements. Next-generation networks such as 5G networks offer great new potentials in disseminating different multimedia formats to various applications onto an array of end devices. Recent developments in deep learning also offer a new paradigm where both multimedia data and the network can be learned in real time for efficient transmission. When addressing these issues, one should inevitably take into consideration the types of data, the capacity and availability of networks, the types of service, the capacity of end devices, etc. With the dramatic increase in real-time multimedia traffic and the number of users, it is indeed difficult to ensure satisfactory multimedia transmission over existing and next generation networks. Therefore, developing an agile and adaptive multimedia transmission framework over next-generation networks is of utmost importance.

The objective of this Special Issue is to attract the latest research results dedicated to multimedia transmission This Special Issue will bring leading researchers and developers from both academia and industry together to present their novel research on multimedia network transmission. The submitted papers will be peer reviewed and will be selected based on the quality and relevance to the main themes of this Special Issue.

Potential topics include but are not limited to the following:

  • Joint source-channel coding for multimedia transmission;
  • Resource allocation for multimedia transmission;
  • Edge computing for multimedia transmission;
  • Blockchain for multimedia transmission;
  • Digital twin for multimedia transmission;
  • 5G and 5G beyond for multimedia transmission;
  • Cross-layer design for multimedia transmission;
  • Immersive multimedia (VR/AR/AR, volumetric video) transmission;
  • Quality of Service (QoS) for joint multimedia transmission and processing;
  • Packet scheduling in dense networks for efficient multimedia transmission;
  • Content-aware resource allocation for multimedia transmission;
  • Network channel modeling and prediction for multimedia transmission;
  • Error-resilient multimedia transmission;
  • Green multimedia transmission;
  • Video surveillance networks;Multimedia sensor networks;
  • Immersive multimedia transmission;
  • Security and privacy in multimedia transmission;
  • Lightweight multimedia system;
  • Machine learning for multimedia transmission;
  • Multimedia transmission in vehicular networks;
  • Multimedia transmission in information centric networks;
  • Multimedia transmission in disaster areas and emergency events;
  • Emerging multimedia applications;
  • Emerging techniques for multimedia transmission.

Dr. Bo Zhang
Dr. Xun Shao
Dr. Zhi Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • video
  • video streaming
  • multimedia trans
  • mission
  • optimization
  • resource allocation
  • wireless networks
  • machine learning

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 476 KiB  
Article
Efficient Resource Allocation for Security-Aware Task Offloading in MEC System Using DVS
by Yanli Wang, Wanli Zhang, Haiquan Deng and Xianwei Li
Electronics 2022, 11(19), 3032; https://doi.org/10.3390/electronics11193032 - 23 Sep 2022
Cited by 2 | Viewed by 1093
Abstract
With the Internet of Things (IoT) and communication technologies are snowballing, various applications (e.g., e-health and face recognition) are generated by IoT devices (IoTDs). Nevertheless, these IoTDs generally have constrained computation resources. By offloading the IoT applications to be processed by the MEC [...] Read more.
With the Internet of Things (IoT) and communication technologies are snowballing, various applications (e.g., e-health and face recognition) are generated by IoT devices (IoTDs). Nevertheless, these IoTDs generally have constrained computation resources. By offloading the IoT applications to be processed by the MEC servers, mobile edge computing (MEC) is envisioned as a promising and effective solution to address this problem. Meanwhile, security is a critical issue for task offloading in MEC. While plenty of studies have focused on IoT tasks offloading, many of them ignored the security issue. Moreover, many previous works ignored the resource allocation of MEC servers. In addition, as dynamic voltage scaling (DVS) technology is flexible in the design of MEC systems, we integrate this technology with task offloading. In this paper, the problem of IoT applications offloading in an MEC system is studied, whose goal is to minimize computation overheads measured by the task processing delay and energy consumption of IoTDs. The AES cryptographic technique is adopted to make sure that the security of the data of the offloaded tasks is guaranteed. An optimization problem of security-aware task offloading is formulated and solved by proposing an efficient resource-allocation scheme. Experimental results are performed to evaluate and confirm the performance of the proposed security model. Full article
(This article belongs to the Special Issue Advances in Multi-Media Network Transmission)
►▼ Show Figures

Figure 1

17 pages, 1519 KiB  
Article
Super-Resolution-Empowered Adaptive Medical Video Streaming in Telemedicine Systems
by Hangcheng Han and Jian Lv
Electronics 2022, 11(18), 2944; https://doi.org/10.3390/electronics11182944 - 16 Sep 2022
Cited by 1 | Viewed by 1625
Abstract
Due to influence of COVID-19, telemedicine is becoming more and more important. High-quality medical videos can provide a physician with a better visual experience and increase the accuracy of disease diagnosis, but this requires a dramatic increase in bandwidth compared to that required [...] Read more.
Due to influence of COVID-19, telemedicine is becoming more and more important. High-quality medical videos can provide a physician with a better visual experience and increase the accuracy of disease diagnosis, but this requires a dramatic increase in bandwidth compared to that required by regular videos. Existing adaptive video-streaming approaches cannot successfully provide high-resolution video-streaming services under poor or fluctuating network conditions with limited bandwidth. In this paper, we propose a super-resolution-empowered adaptive medical video streaming in telemedicine system (named SR-Telemedicine) to provide high quality of experience (QoE) videos for the physician while saving the network bandwidth. In SR-Telemedicine, very low-resolution video chunks are first transmitted from the patient to an edge computing node near the physician. Then, a video super-resolution (VSR) model is employed at the edge to reconstruct the low-resolution video chunks into high-resolution ones with an appropriate high-resolution level (such as 720p or 1080p). Furthermore, the neural network of VSR model is designed to be scalable and can be determined dynamically. Based on the time-varying computational capability of the edge computing node and the network condition, a double deep Q-Network (DDQN)-based algorithm is proposed to jointly select the optimal reconstructed high-resolution level and the scale of the VSR model. Finally, extensive experiments based on real-world traces are carried out, and the experimental results illustrate that the proposed SR-Telemedicine system can improve the QoE of medical videos by 17–79% compared to three baseline algorithms. Full article
(This article belongs to the Special Issue Advances in Multi-Media Network Transmission)
►▼ Show Figures

Figure 1

18 pages, 2186 KiB  
Article
Content-Aware Proactive VR Video Caching for Cache-Enabled AP over Edge Networks
by Jinjia Ruan and Dongliang Xie
Electronics 2022, 11(18), 2824; https://doi.org/10.3390/electronics11182824 - 07 Sep 2022
Cited by 2 | Viewed by 1236
Abstract
With the rapid development of virtual reality (VR) video networked applications, the use of network caching mechanisms to guarantee the quality of VR services has been proven to be a very effective method. Most of the existing methods on cache placement prediction only [...] Read more.
With the rapid development of virtual reality (VR) video networked applications, the use of network caching mechanisms to guarantee the quality of VR services has been proven to be a very effective method. Most of the existing methods on cache placement prediction only consider the one-sided information of user viewpoints and do not consider the video characteristic information of virtual reality, because the asymmetry of the two types of information causes the accuracy of current predictions to gradually decrease, which affects the cache hit rate and leads to VR performance metrics that cannot be guaranteed. In this paper, we analyze the demanding requirements of VR for low latency and high bandwidth in a multi-access point (multi-AP) scenario environment, and further improve the cache hit rate of user requests by increasing network throughput. First, the throughput of VR users after associating APs is analyzed using a Markov model. Second, a nonlinear mixed integer programming problem is constructed with the goal of maximizing the overall throughput of the network system. Finally, combining the characteristics of the VR video content itself and the popularity of the requested video content, the symmetry of the information is guaranteed by considering the ratio between the video characteristic information and the user feature information to determine the weights. The experimental results demonstrate that the proposed algorithm achieves the improvement of cache hit rate and the improvement of network throughput while ensuring the quality of service. Full article
(This article belongs to the Special Issue Advances in Multi-Media Network Transmission)
►▼ Show Figures

Figure 1

22 pages, 22801 KiB  
Article
mmWave Radar Sensors Fusion for Indoor Object Detection and Tracking
by Xu Huang, Joseph K. P. Tsoi and Nitish Patel
Electronics 2022, 11(14), 2209; https://doi.org/10.3390/electronics11142209 - 14 Jul 2022
Cited by 14 | Viewed by 5459
Abstract
Indoor object detection and tracking using millimeter-wave (mmWave) radar sensors have received much attention recently due to the emergence of applications of energy assignment, privacy, health, and safety. Increasing the valid field of view of the system and accuracy through multi-sensors is critical [...] Read more.
Indoor object detection and tracking using millimeter-wave (mmWave) radar sensors have received much attention recently due to the emergence of applications of energy assignment, privacy, health, and safety. Increasing the valid field of view of the system and accuracy through multi-sensors is critical to achieving an efficient tracking system. This paper uses two mmWave radar sensors for accurate object detection and tracking: two noise reduction stages to reduce noise and distinguish cluster groups. The presented data fusion method effectively estimates the transformation of the data alignment and synchronizes the result that can allow us to visualize the objects’ information acquired by one radar on another one. An efficient density-based clustering algorithm to provide high clustering accuracy is presented. The Unscented Kalman Filter tracking algorithm with data association tracks multiple objects simultaneously in terms of accuracy and timing. Furthermore, an indoor object tracking system is developed based on our proposed method. Finally, the proposed method is validated by comparing it with our previous system and a commercial system. The experimental results demonstrate that the proposed method’s advantage is of positive significance for handling the effect of occlusions at higher numbers of weak data and for detecting and tracking each object more accurately. Full article
(This article belongs to the Special Issue Advances in Multi-Media Network Transmission)
►▼ Show Figures

Figure 1

21 pages, 3507 KiB  
Article
Toward Efficient Blockchain for the Internet of Vehicles with Hierarchical Blockchain Resource Scheduling
by Liming Gao, Celimuge Wu, Zhaoyang Du, Tsutomu Yoshinaga, Lei Zhong, Fuqiang Liu and Yusheng Ji
Electronics 2022, 11(5), 832; https://doi.org/10.3390/electronics11050832 - 07 Mar 2022
Cited by 9 | Viewed by 2366
Abstract
With the development of advanced information and communication technology, the traditional centralized cloud architecture cannot satisfy the exploding demand for data exchange in Internet of Vehicle (IoV) systems. Moreover, the traditional centralized architecture of the vehicular network has the potential risk of a [...] Read more.
With the development of advanced information and communication technology, the traditional centralized cloud architecture cannot satisfy the exploding demand for data exchange in Internet of Vehicle (IoV) systems. Moreover, the traditional centralized architecture of the vehicular network has the potential risk of a single point of failure and lacks autonomy since the system highly relies on a trusted third party (TTP) to provide identity management. Fortunately, the emergence of blockchain technology provides a potential direction to address these problems. However, there are still some problems existing in the construction of an efficient blockchain system in IoV systems, such as the dynamic network topology and limited resources. In this paper, we propose a hierarchical resource scheduling scheme for blockchain-enabled IoV systems that improves the performance of the blockchain-enabled IoV system by efficiently allocating computational resources. The superiority of the proposed method is fully demonstrated by comparing it with existing baseline methods. Full article
(This article belongs to the Special Issue Advances in Multi-Media Network Transmission)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop