Advanced Big Data Analysis for Vehicular Social Networks

Submission Deadline: 31 August 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://ieee.atyponrex.com/journal/ieee-access

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

GNSS, Localization, and Navigation Technologies

Submission Deadline: 28 February 2018

IEEE Access invites manuscript submissions in the area of GNSS, Localization, and Navigation Technologies.

Position and time have become two of the most vital information for the convenience, security, and safety of our daily lives and have been the core enabler of innovative advancements in many science and engineering fields. Since the Global Positioning System (GPS) became available to the public, GPS has been applied not only to terrestrial, maritime and air navigation systems but also to diverse areas in our everyday life such as geodesy, agriculture, mining, construction, remote sensing, cellular communications, finance, power transmission, and in the recent years, location-based services (LBS) in smartphones and Internet of Things (IoT) applications. However, the legacy GPS has been only successful in the outdoor and open-sky applications, and the new demand for positioning and navigation in indoor and urban street environments has been growing strong and rapidly.

A number of countries are carrying out their own plan to build advanced satellite-based navigation systems, which together with GPS and its future evolutions, they are generally referred to as Global Navigation Satellite Systems (GNSS). GNSS will provide a number of new wideband signals with encoded and encrypted data at multiple frequencies for the enhancement of accuracy, robustness, and signal availability in the GPS-denied environments such as dense urban streets and indoor and in the presence of cyber-attacks.

On the other hand, there have been research activities around the world to develop indoor positioning and navigation technologies in diverse directions. One conventional approach is to use radio signals from wireless infrastructure such as WiFi, UWB, and LTE (i.e., cellular signals), and the other is to utilize non-radio signal measurements such as camera-vision, in-building magnetic anomaly, and inertial measurements.

This Special Section in IEEE Access aims to share new ideas, latest findings, and results with researchers, academics, and experts working on the research and development of positioning and navigation technologies. The related topics of interest to GNSS, localization, and navigation technologies include, but are not limited to:

  • Algorithms, signal processing techniques, and performance analysis
  • New design of signals, devices, and systems
  • Sensor fusion and hybridization techniques
  • Cooperative and robust techniques
  • Privacy, authentication, and security improving techniques
  • Experiments and performance evaluation
  • Applications to autonomous vehicles, intelligent transportation systems
  • Innovative techniques and approaches for IoT, cloud processing, and big data

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

 

Associate Editor: Seung-Hyun Kong, KAIST, South Korea

Guest Editors:

  1. José A. López-Salcedo, Universitat Autònoma de Barcelona, Spain
  2. Yuanxin Wu, Shanghai Jiao Tong University, China
  3. Euiho Kim, Hong-Ik University, South Korea

 

Relevant IEEE Access Special Sections:

  1. Intelligent Systems for the Internet of Things
  2. Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things
  3. The New Era of Smart Cities: Sensors, Communication Technologies and Applications

 

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

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

For inquiries regarding this Special Section, please contact: skong@kaist.ac.kr

High Mobility 5G LTE-V: Challenges and Solutions

Submission Deadline: 1 December 2017

IEEE Access invites manuscript submissions in the area of High Mobility 5G LTE-V: Challenges and Solutions.

The Internet of Vehicles, previously referred to as Vehicular Ad Hoc Networks (VANETs), will be collections of mobile ad hoc networks for vehicular communications to improve driving safety and traffic efficiency. Major categories include vehicle-to-vehicle (V2V) communications and vehicle-to-infrastructure (V2I) communications, and collectively these (and future categories) can be termed V2X communications. These two categories entail a variety of communication channels, network topologies, vehicle densities and communication scenarios, and in response to this, IEEE has released the IEEE 802.11p and IEEE 1609 protocols for VANETs. With the global commercial application of Long Term Evolution (LTE) mobile communication systems, LTE based vehicular (LTE-V) networks have been shown to offer advantages in V2I communications, coverage, high mobility and complicated communication scenarios. Therefore, in the 5th generation’s (5G) mobile communication networks, the 3GPP is discussing V2V communications as a device-to-device (D2D) communication application. As is well known, in high mobility scenarios, the wireless channel is rapidly time varying, Doppler shifts and spreads can be much larger than in cellular, network topology can change quickly, and switching among base stations and vehicles is more frequent. All this presents formidable challenges to realizing reliable communications with low latency in 5G LTE-V systems. This Special Section in IEEE Access will focus on the challenges and solutions for the 5G LTE-V, with topics including but not limited to:

  • High mobility V2X channel measurement and modeling
  • High mobility V2X channel estimation
  • High mobility V2X channel equalization
  • High mobility channel frequency offset compensation
  • Joint time-frequency correction for high mobility V2X channel
  • LTE-V physical (PHY) and medium access control (MAC) layer enhancements to cope with high mobility V2X channels
  • Interference management for 5G LTE-V and VANETs
  • Resource allocation based on channel state information
  • Cross layer design based on dynamic congestion control
  • Mobility management for V2X applications
  • Heterogeneous networks of 5G LTE-V and other VANETs
  • Nonorthogonal multiple access for LTE-V

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

 

Associate Editor: Wen Chen, Shanghai Jiao Tong University, China

Guest Editors:

  1. Ruisi He, Beijing Jiao Tong University, China
  2. David W. Matolak, University of South Carolina, USA
  3. Chintha Tellambura, University of Alberta, Canada
  4. Zhengguo Sheng, University of Sussex, UK

 

Relevant IEEE Access Special Sections:

  1. Communication, Control and Computation Issues in Heterogeneous Vehicular Networks
  2. Resource Management in Vehicular Ad-Hoc Networks: Energy Management, Communication Protocol and Future Applications
  3. Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness

 

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

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

For inquiries regarding this Special Section, please contact: wenchen@sjtu.edu.cn