Special Issue "Recent Advances on Intelligent Multimedia Networks"

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

Deadline for manuscript submissions: 31 March 2022.

Special Issue Editors

Dr. Dimitris Kanellopoulos
E-Mail Website
Guest Editor
Department of Mathematics, University of Patras, 265 00 Patras GR, Greece
Interests: multimedia networks; quality of service (QoS); mobile ad hoc networks; wireless networks; wireless sensor networks; computer networks design; modeling and implementation
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Dr. Miguel García-Pineda
E-Mail Website
Guest Editor
Computer Science Department, University of Valencia, 46100 Valencia, Spain
Interests: multimedia networks; streaming; QoE; QoS; IoTs; cloud computing
Special Issues and Collections in MDPI journals
Prof. Dr. Daniel G. Costa
E-Mail Website
Guest Editor
Department of Technology, State University of Feira de Santana, 44036-900 Feira de Santana, Brazil
Interests: emerging networks and applications; smart cities; internet of things; wireless networks; multimedia communications
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, multimedia networking applications benefit from the rapid development of encoding techniques for multimedia data sources, effective Quality of Service (QoS) control mechanisms, and Quality of Experience (QoE) criteria for system optimization. Interoperability solutions are also being proposed to integrate wired and wireless heterogeneous networking systems for multimedia communication. Another challenge is ensuring that the multimedia-networked content is fully interoperable, with ease of management and standardized multimedia content adapted for interoperable delivery, as well as intellectual property management and protection (i.e., digital rights management) being successfully incorporated into the system. Meanwhile, multimedia networks can be more secure and intelligent by integrating some type of intelligence. Existing research works still need to find out efficient ways to establish Intelligent Multimedia Networks (IMNs). Intelligent Networks can be applied in several network shapes like edge/Fog/Cloud/p2p networks and even sensor/mesh networks to increase the performance and throughput of such systems as well as providing better QoE to satisfy customers’ experiences.

This Special Issue solicits novel work in terms of solutions and techniques for intelligent multimedia networks. We look forward to creating a forum in which researchers in the domain of intelligent multimedia networks can share their results, techniques, surveys, analyses, and discussions of the problems of intelligent multimedia networks. Topics of interest for this Special Issue are not limited strictly to traditional multimedia networking problems, but also include topics that address related fields over multimedia sensor networks such as (but not limited to):

  • Transmission techniques for multimedia information over IMNs
  • Scheduling and routing in IMNs
  • Effective QoS control mechanisms
  • Scalability, reliability, and performance of IMNs
  • Network services and applications in IMNs
  • Performance evaluation of IMNs
  • Anomaly detection in IMNs
  • QoS and security support in IMNs
  • Multimedia system optimization through QoE criteria/support
  • Encoding techniques to improve the end-user’s QoE in IMNs
  • Digital rights and digital forensic management in IMNs
  • Multimedia security mechanisms to protect content and privacy
  • Video optimization in multimedia sensor networks
  • Optimization algorithms in IMNs
  • IMNs support for Edge Computing
  • IMNs for IoT applications
  • Network monitoring and analytical modeling in IMNs
The abstract deadline is 1 November 2021. All contributions in this field are welcome in this Special Issue. The tentative title and the abstract can be announced on the SI website.

Dr. Dimitris Kanellopoulos
Dr. Miguel García-Pineda
Prof. Dr. Daniel G. Costa
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 papers will be 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 1800 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

  • QoS control mechanisms
  • Scheduling and routing
  • Network services and applications in IMNs
  • Optimization algorithms in IMNs
  • Video optimization in multimedia sensor networks
  • Multimedia security mechanisms to protect content and privacy

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Rate Adaptation for Crowdsourced Live Streaming: A MAML-based Predictive Approach

Author: Zhi Wang

Affiliation: Tsinghua Shenzhen International Graduate School, Tsinghua University

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