Mobile Networks and Applications - Mobile Multimedia Communications: Frontiers in Mobile Multimedia Communications
Overview: With the commercialization of 5G communication technology, multimedia services and applications in the mobile environment have grown at an extraordinary rate. It is the right time to develop deeper and wider use of novel mobile multimedia communication technologies, such as content features analysis and coding, media access control, multimedia flow and error control, cross-layer optimization, Quality of Experience (QoE), media cloud as well as mobility management and security application. These entire problems need more of our attention to be solved. Therefore, more effective thoughts and methods are needed to enhance theory and application of mobile multimedia communication. Within this scope, our special issue provides a new platform for researchers from universities, industry and research institute to study new technologies, applications and standards. Original unpublished work that can improve theoretical level and application practice of mobile multimedia communication is solicited.
Topics
Topics of interest include, but are not limited to, the following scope:
-Flexible architecture in AI enabled Software-Defined Networks -Wireless Body Area Network (WBAN) -Algorithms, architecture, applications of 5G, -Computational Framework and Structure for Big Data -Behavior Understanding and Object Tracking in Big Multimedia Data -Localization, positioning and tracking techniques -Heterogeneous data storage -Multimedia based signal processing | -Security and privacy management of Multimedia in Internet of Multimedia Things (IoMT) -Malware Detection and Analysis in Internet of Multimedia Things (IoMT) -Speech/audio processing -Mobile crowdsensing -Real-time stream data mining -Social network mining and recommendation -Big Audio and Acoustic Signal Data Processing |
Important Dates
Manuscript submission deadline: 31 Dec. 2022
First round of notification: 31 Jan. 2023
Submission of the revised paper: 28 Feb. 2023
Notification of acceptance: 15 Apr 2023
Submission of final revised paper: 15 May. 2023
Publication of special issue (tentative): Oct. 2023
Submission Procedure
Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through http://www.editorialmanager.com/mone/ (this opens in a new tab).
A copy of the manuscript should also be emailed to the Guest Editors at the following email addresses: x@fzu.edu.cn and pjiao@hdu.edu.cn
Corresponding Guest Editors:
Pengfei Jiao, Hangzhou Dianzi University, pjiao@hdu.edu.cn
Pengfei Jiao received the Ph.D. degrees in computer science from Tianjin University, Tianjin, China, in 2018. From 2018 to 2021, he was a lecture with the Center of Biosafety Research and Strategy of Tianjin University.
He is currently a Professor with the School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China. His current research interests include complex network analysis, data mining and graph neural network, and currently working on temporal community detection, link predication, network embedding, recommender systems and applications of statistical network model. He has published more than 60 international journals and conference papers. He is the reviewer of IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Computational Social Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Fusion, Knowledge-Based Systems, Applied Network Science and Neurocomputing.
1) Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, and Wenjun Wang. "Temporal network embedding for link prediction via vae joint attention mechanism." IEEE Transactions on Neural Networks and Learning Systems (2021).
2) Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, and Wenjun Wang. "HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level." IEEE Transactions on Neural Networks and Learning Systems (2022).
3) Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, and Huaming Wu. "Generative Evolutionary Anomaly Detection in Dynamic Networks." IEEE Transactions on Knowledge and Data Engineering (2021).
4) Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, and Huaming Wu. "Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism." IEEE Transactions on Cybernetics (2021).
Co-Editors:
Ximeng Liu, Fuzhou University, x@fzu.edu.cn
Prof. Ximeng Liu received the B.Sc. degree in electronic engineering from Xidian University, Xi’an, China, in 2010, and the Ph.D. degree in cryptography from Xidian University, China, in 2015. He is currently a Full Professor with the College of Mathematics and Computer Science, Fuzhou University. He is also a Research Fellow with the School of Information System, Singapore Management University, Singapore. He has published more than 200 papers on the topics of cloud security and big data security, including papers in the IEEE TRANSACTIONS ON COMPUTERS, the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, the IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, the IEEE TRANSACTIONS ON SERVICE COMPUTING, and the IEEE INTERNET OF THINGS JOURNAL. His research interests include cloud security, applied cryptography, and big data security. He is a member of ACM and CCF. He was awarded the Minjiang Scholars Distinguished Professor, Qishan Scholars in Fuzhou University, and ACM SIGSAC China Rising Star Award, in 2018. He served as a program committee for several conferences, such as the 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 2017 IEEE Global Communications Conference, and 2016 IEEE Global Communications Conference. He served as the Lead Guest Editor for Wireless Communications and Mobile Computing (WCMC), International Journal of Distributed Sensor Networks (IJDSN), Wiley Transactions on Emerging Telecommunications Technologies (ETT).
Previous editorial experience:
l Editorial Board: KSII Transactions on Internet and Information Systems (TIIS). Frontiers in Big Data
l Lead Guest Editor: “5G-enabled Intelligent Applications for Distributed Industrial Internet-of-Thing System”, IEEE Transactions on Industrial Informatics, 2021.
Research area:
IoT security, Applied cryptography, cloud security, big data security, privacy-preserving data mining/machine learning techniques, and network security.
Selected Publication:
[1]Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Yang Yang, Privacy-Preserving Reinforcement Learning Design for Patient-Centric Dynamic Treatment Regime. IEEE Transaction on Emerging Topic in Computing, 2019. DOI: 10.1109/TETC.2019.2896325.
[2]Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Yang Yang, HweeHwa Pang: Privacy-Preserving Outsourced Calculation Toolkit in the Cloud, IEEE Transactions on Dependable and Secure Computing, vol.17, no.5, pp.898-911, 2018. DOI: 10.1109/TDSC.2018. 2816656.
[3]Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Yang Yang, Privacy-preserving Outsourced Support Vector Machine Design for Secure Drug Discovery, IEEE Transactions on Cloud Computing, vol.8, no.2, pp.610-622, 2018. DOI: 10.1109/TCC.2018.2799219.
[4]Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Yang Yang, Privacy-preserving Outsourced Clinical Decision Support System in the Cloud, IEEE Transactions on Service Computing, 2017. DOI: 10.1109/TSC.2017.2773604.
[5]Ximeng Liu, Robert H. Deng, Wenxiu Ding, Rongxing Lu, Baodong Qin, Privacy-Preserving Outsourced Calculation on Floating Point Numbers, IEEE Transactions on Information Forensics and Security, vol.11, no.11, pp.2513-2527, 2016. DOI: 10.1109/TIFS.2016. 258512.1.
[6]Yang Yang, Ximeng Liu, Robert H. Deng, Lightweight Break-glass Access Control System for Healthcare Internet-of-Things, IEEE Transactions on Industrial Informatics, vol. 14, no.8, pp.3610-3617, 2017. DOI: 10.1109/TII.2017.2751640.