Human-driven Edge Computing (HEC)

Submission Deadline: 01 September 2020

IEEE Access invites manuscript submissions in the area of Human-driven Edge Computing (HEC).

The advent of Fifth Generation (5G) and Internet of Things (IoT) is expected to  make it possible to collect and disseminate information for various crowd-sensing services in densely populated environments. It will also result in greater demand for these services, with the rapid evolution of artificial intelligence and edge computing, which provides cloud computing and cache capabilities to reduce the computational load of cellular networks, the edges of such networks. However, the costs for deployment and maintenance of Mobile Edge Computing (MEC) are still high. Human-driven Edge Computing (HEC) is a novel model which integrates the elements of Humans, Devices, Internet and Information, and combines the power of MEC architecture and the large-scale sensing ability of Mobile Crowd-sensing (MCS). There is a great deal of research interest, from both academia and industry, on how to improve data spreading methods and environmental coverage in smart cities based on HEC. Although the study of human-driven edge computing for 5G and IoT is attractive, there are still many issues, such as fusion analysis, efficient resource usage, low latency communication, large-scale search, and data security and privacy. The objective of this Special Section is to present a collection of high-quality research articles to report the latest research advances addressing the related challenges and limitations in the area of human-driven edge computing.

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

  • Cognitive inspired HEC
  • New model, architecture and framework of HEC
  • Computation offloading in HEC
  • Resource allocation and management in HEC
  • Data harvesting, fusion and analytics
  • Fusion analysis and computing
  • Large-scale data search and recommendation
  • Deep learning and data mining in HEC
  • AI Hardware Accelerators in HEC
  • Emerging AI techniques and their combination with MEC
  • Energy-efficient and low-latency communication and computation
  • Novel QoS and QoE improvement techniques
  • Security and privacy challenges
  • Application and case studies of HEC for 5G and IoT
  • Novel techniques and future perspective in HEC

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

 

Associate Editor: Rongbo Zhu, South-Central University for Nationalities, China

Guest Editors:

    1. Lu Liu, University of Leicester, UK
    2. Ashiq Anjum, University of Derby, UK
    3. Maode Ma, Nanyang Technological University, Singapore
    4. Shiwen Mao, Auburn University, USA

 

Relevant IEEE Access Special Sections:

  1. Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs)
  2. Information Centric Wireless Networking with Edge Computing for 5G and IoT
  3. Innovation and Application of Intelligent Processing of Data, Information and Knowledge as Resources in Edge Computing


IEEE Access Editor-in-Chief:
  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: rbzhu@mail.scuec.edu.cn.