Officers

Chair: Zhi Liu, The University of Electro-Communications, Japan, liu AT ieee.org
Co-Chair: Xun Shao, Toyohashi University of Technology, Japan, x-shao AT ieee.org
Co-Chair: Kui Wu, University of Victoria, Canada, wkui AT  uvic.ca
Co-Chair: Soufiene Djahel, University of Huddersfield, UK, S.Djahel AT hud.ac.uk
Co-Chair: Yassine Hadjadj-Aoul, University of Rennes, France, yhadjadj AT  irisa.fr
Co-Chair: Avishek Nag, University College Dublin, Ireland, avishek.nag AT  ucd.ie
Co-Chair: Heli Zhang, Beijing University of Post and Telecommunications, China, zhangheli AT bupt.edu.cn

Advisor:
– Yusheng Ji, National Institute of Informatics (NII), Japan, kei AT nii.ac.jp
– Mianxiong Dong, Muroran Institute of Technology, Japan, mx.dong AT csse.muroran-it.ac.jp
– Seng Loke, Deakin University, Australia, seng.loke AT deakin.edu.au
– Jianping Wang, City University of Hong Kong, Hong Kong, jianwang AT cityu.edu.hk
– Xianfu Chen, VTT Technical Research Centre of Finland, Finland, xianfu.chen AT vtt.fi

Scope and Objectives

The development of mobile devices and edge computing leads to the explosive deployment of mobile services and IoT applications; the recent development of advanced algorithms such as deep learning has shown great potential in resource allocation and service orchestration. The deep integration of the above technologies provides a wide range of opportunities for the realization of future edge-assisted intelligent IoT systems. On the other hand, there are many challenges to realize an efficient and sustainable ecosystem. The challenges are broad and include device technologies, communication and networking technologies, cloud and edge computing technologies, energy harvesting technologies, incentive and marketing mechanisms, and the ethical implications of IoT devices.

In fact, The use of the smart IoT and edge devices in various contexts such as smart homes, supermarkets, farms, hospitals and elderly care facilities is becoming increasingly popular. In such environments, multiple users can use smart devices to interact with collections of other smart devices. However, managing the interaction behavior of a collection of heterogeneous devices and ensuring responsible behavior in a human-centric way remains a challenge. For this purpose, it is urgent to design a policy-based development methodology to make smart devices more human-centric and ethical.

This SIG focus on addressing the above issues with advanced IoT and edge computing technologies, contributing to the future smart and sustainable society. We will focus on the following topics:

– Multiaccess networks and resource management
– Blockchain and related applications in mobile environment
– Cooperative communications
– Cooperative and smart Internet of Things
– Ethical smart devices and data management
– V2X (vehicular to everything) technologies
– Mobile network management and virtualization
– Software defined networks for mobile networking
– Routing and resource allocation for hybrid network (hNets)
– Game-theoretical analysis for the future mobile networking market
– 5G network architecture, management technologies, and services
– Operation and management of virtualized network functions
– Network function virtualization and software defined networking
– Information-Centric Networking and Named-Data-Networking technologies for mobile networks
– Joint management and orchestration of cloud and networking
– Energy efficiency for multiaccess networks
– Energy harvesting technologies for mobile networks
– Advanced algorithms such as Deep Learning for mobile network management
– Security and privacy issues for emerging mobile services
– Emerging multimedia services, service enablers and management
– Mobile edge computing (MEC) architecture, protocol, and services
– Design, implementation, and testbed/experimental evaluations
– Advanced education technologies with IoT and edge computing technologies

Founding Members:

  1. Yassine Hadjadj-Aoul, University of Rennes, France
  2. Avishek Nag, University College Dublin, Ireland
  3. Xun Shao, Toyohashi University of Technology, Japan
  4. Soufiene Djahel, University of Huddersfield, UK
  5. Seng Loke, Deakin University, Australia
  6. Kui Wu, University of Victoria, Canada
  7. Xianfu Chen, VTT Technical Research Centre of Finland, Finland
  8. Zhi Liu, The University of Electro-Communications, Japan
  9. Yuanlong Cao, Jianxi Normal University, China
  10. Reza Malekian, Malmö University, Sweden
  11. Heli Zhang, Beijing University of Posts and Telecommunications, China
  12. Di Zhang, Beijing Jiaotong University, China
  13. Kazuhisa Matsuzono, National Institute of Communications Technology, Japan
  14. Yuanlong Cao, Jiangxi Normal University, China
  15. Bingyi Liu, Wuhan University of Technology, China
  16. Fan He, Wuhan University of Technology, China
  17. Cheng Zhang, Ibaraki University, Japan
  18. Satish Narayana Srirama, University of Hyderabad, India
  19. Niroshinie Fernando, Deakin University, Australia
  20. Jianwen Xu, Muroran Institute of Technology, Japan
  21. He Li, Muroran Institute of Technology, Japan
  22. Charilaos Zarakovitis, Axon Logic, Greece
  23. Wenjuan Yu, Lancaster University, UK
  24. Yusheng Ji, National Institute of Informatics (NII), Japan
  25. Mianxiong Dong, Muroran Institute of Technology, Japan
  26. Jingjing Lin, Toyohashi University of Technology, Japan
  27. Jianping Wang, City University of Hong Kong, China
  28. Claudio E. Palazzi, University of Padua, Italy
  29. Floriano De Rango, University of Calabria, Italy
  30. Ramona Trestian, Middlesex University, UK
  31. Takfarinas Saber, University of Galway, Ireland
  32. Irina Tal, Dublin City University, Ireland
  33. Mamun Abu-Tair, Ulster University, UK
  34. Saïd Yahiaoui, CERIST Research Center, Algeria
  35. Hrishikesh Venkataraman, Indian Institute of Information Technology (IIIT), India
  36. Razvan Stanica, INSA Lyon, France
  37. Kamal Singh, Telecom Saint Etienne / University Jean Monnet, France
  38. Suat Ozdemir, Hacettepe University, Turkey