Call for Papers

Widespread deployment of the Internet of Things (IoT) has changed the way network services are developed, deployed and operated. Recently, most advanced IoT devices are equipped with visual sensors, subsequently forming the so-called visual IoT (V-IoT). The V-IoT significantly relies on computer vision processing techniques due to the need for sensing and processing of visual data. They have been broadly used in various applications, such as industrial production, video surveillance, intelligent transportation, precise agriculture, entertainment, and autonomous ground and aerial vehicles.

The V-IoT is designed for solving the gaps between current IoT objects and complex multimedia processing, where multimedia, informatics, communications and networks, statistics and computing science are weaved together. A V-IoT ecosystem aims to effectively “see,” “understand,” and “connect” everything together through intelligent recognition, visual information analysis, communications, monitoring, tracking, prediction, and wise management by efficiently controlling the physical data and things to make networked connections more visible and valuable. The V-IoT is improving the visualization and intelligent level of emerging applications and industrial experiences, solving the burden of a massive amount of IoT devices and mass multimedia data, covering topics ranging from enabling technologies to future IoT-type communications, and addressing advances in research on future intelligent communications and multimedia computation technologies.

This Special Issue (SI) particularly calls for contributions beyond current state-of-the-art across multidisciplinary boundaries as well as academia-industrial gaps. These advanced V-IoT techniques will reexamine the intelligent crystallization in multimedia, communications and networks, beyond classical models and solution concepts, and eventually provide new visions for IoT and communications. Desired topics include, but are not limited to, the following areas:

• Novel V-IoT architectures for edge computing
• AI-driven data mining and machine learning in V-IoT systems
• Multiple sensorial data processing in large scale V-IoT networks
• Visual data analysis in V-IoT networks
• Emerging optimization in massive V-IoT communications
• Versatile coding, transmission and control in V-IoT communications
• Novel cooperative strategies for V-IoT communications: sensing, fusion, and caching
• Security and privacy in V-IoT communications and networks
• Economic framework for V-IoT networks: advanced performance metrics, pricing models, and data market approaches
• Crowd management: crowdsensing, crowdsourcing, and crowd intelligence

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Paper Submission Guidelines.

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central. Select the “August 2021: Emerging Visual IoT Technologies for Future Communications and Networks” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 15 November 2020
Initial Decision Date: 1 February 2021
Revised Manuscript Due: 1 March 2021
Final Decision Date: 1 April 2021
Final Manuscript Due: 15 June 2021
Publication Date: August 2021

Guest Editors

Wen Ji
Institute of Computing Technology, Chinese Academy of Sciences, China

Touradj Ebrahimi
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Zhu Li
University of Missouri-Kansas City, USA

Jinhong Yuan
University of New South Wales, Australia

Dapeng Oliver Wu
University of Florida, USA

Yan Xin
Samsung Research America Inc, USA