Skip to main content
SpringerLink
Log in
Springer
Wireless Networks

The Journal of Mobile Communication, Computation and Information

Publishing model:
Hybrid

Wireless Networks - Call for Papers: Data Management and Analytics for Internet of Things at the Network Edge

Overview:

The development of Internet of Things (IoT) has significantly changed the way we live, from a variety of aspects including entertainment, sports, agriculture, manufacturing, and so on. Correspondingly, the ever-increasing prevalence of various IoT applications have also produced a variety of data, which forms one of the major sources of data facilitating modern latency-sensitive applications at the network edge like artificial intelligence, industrial automation, smart transportation, etc. Advanced management and analytics of such IoT data are of great significance for valuable knowledge extraction, behavior pattern mining and business process optimization at the network edge, and have been applied in a wide range of domains.

Data management and analytics are often correlated. For example, effective data analytics often relies on efficient data collection and processing. In turn, data analytics can inform decision making on data management. These have been studied intensively in the cloud, however, not at the network edge. IoT data management and analytics often involve cross-media information integration incurred by the diversity of data, such as images, videos, texts, sounds, and so on. Second, latency-sensitive applications at the edge demand quick responses and call for lightweight data management and analytics frameworks, approaches and techniques. In addition, cross-domain data management and analytics are inevitably challenged by various security and privacy issues such as adversarial attacks, confidentiality attacks, privacy exposure, etc. Therefore, a deep investigation of data management and analytics is highly demanded to achieve their full potentials IoT at the edge.

Topics

Topics of interest include, but are not limited to, the following scope:

Intelligent data collection, integration and processing for IoT at the network edge

Dynamic resource provisioning for IoT data storage and processing at the network edge

Big data management framework for IoT applications for the network edge

AI-powered big data mining and analyses for IoT at the network edge

Machine learning and deep learning for advanced IoT data fusion at the network edge

Blockchain-based smart contracts and protocols for IoT at the network edge  

Security, trust and privacy in IoT data communication at the network edge

Smart big data applications in industrial and agricultural IoT at the network edge

Advanced data analytics for IoT applications at the network edge

Economy, laws and ethics related to multi-party IoT data management and analytics at the network edge

Computation offloading for IoT at the network edge

Important Dates

  • Manuscript submission deadline: May 01, 2023
  • Notification of acceptance: August 15, 2023
  • Submission of final revised paper: July 30, 2023
  • Publication of special issue (tentative): September 30, 2023

Submission Procedure

Authors should follow the WINET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through http://www.editorialmanager.com/wine/ (this opens in a new tab).A copy of the manuscript should also be emailed to the Guest Editors at the following email address(es): xlxu@nuist.edu.cn 

Guest Editors:

  • Xiaolong Xu, Nanjing University of Information Science and Technology, China. Email: xlxu@nuist.edu.cn
  • Qiang He, Swinburne University of Technology, Australia. E-mail: qhe@swin.edu.au
  • Ximeng Liu, Fuzhou University, China. E-mail: snbnix@gmail.com
  • Xinkui Zhao, Zhejiang University, China. Email: zhaoxinkui@zju.edu.cn

Search

Navigation