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Advanced Big Data Analysis for Vehicular Social Networks

Submission Deadline: 31 March 2018

Submission Deadline: 31 March 2018

IEEE Access invites manuscript submissions in the area of Advanced Big Data Analysis for Vehicular Social Networks.

Vehicular Social Network (VSN) is a mobile communication network formed by the combination of relevant concepts and features from two different fields, i.e., Social Networks (SN) and Vehicular Ad-hoc Networks (VANET). Based on Social Network Analysis (SNA), these interdependencies of network entities can be exploited to enhance Quality of Service (QoS) for perspective applications. This notion of SNA and its applications have recently attracted much attention from the research community. With the pervasive applications of intelligent equipment such as GPS devices, traffic cameras, smart cards, smartphones and road deceleration devices, multisource big data in VSN are more easily collected than before. Analyzing the regularities hidden in VSN big data has been a hot research field associated with transportation management, urban planning, epidemic control, mobile platform application, and so on. Significant improvements could be achieved by exploiting social behaviors of commuters based on VSN big data analysis.

VSN is an emerging field which crosses multiple research disciplines and industry domains, including transportation, information technology, communications, and social sciences. The goal of this Special Section in IEEE Access is to collect articles focusing on big data analysis for a diverse range of VSN applications and services. We also welcome survey articles on this topic.

The topics of interest include, but are not limited to:

  • Architecture, strategies, and algorithms for VSNs
  • Network science for VSN big data
  • Big data-driven recommendation in VSNs
  • IoT and VSNs
  • Cross-layer design and optimization in VSNs
  • Human behavior based on big data in VSNs
  • Human mobility prediction and visualization leveraging big data
  • VSN big data analysis for urban computing and decision-making
  • Wireless communication and vehicular social networking in VSNs
  • Socially-aware intelligent transportation system
  • Security and privacy issues in VSNs
  • Mobility modeling and big data mining in VSNs
  • Cooperative communication in VSNs
  • Entertainment on roads/video and gaming in VSNs
  • Data delivery reliability and network efficiency in VSNs
  • Data privacy and security for VSNs
  • Transportation optimization using VSN big data
  • Traffic control and management based on VSN big data
  • Transportation visualization based on VSN big data
  • Community activity prediction based on VSN big data analysis

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Xiangjie Kong, Dalian University of Technology, China

Guest Editors:

  1. Michael Sheng, Macquarie University, Australia
  2. Alexey Vinel, Halmstad University, Sweden
  3. Saeid Abolfazli, YTL Communications, and Xchanging, Malaysia
  4. Xia Hu, Texas A & M University, USA
  5. Feng Xia, Dalian University of Technology, China

 

Relevant IEEE Access Special Sections:

  1. Advanced Data Analytics for Large-scale Complex Data Environments
  2. The New Era of Smart Cities: Sensors, Communication Technologies and Applications
  3. Security and Privacy for Vehicular Networks

IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access

For inquiries regarding this Special Section, please contact: xjkong@ieee.org