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Collaboration for Internet of Things

Submission Deadline: 31 December 2018

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Collaboration for Internet of Things.

As the network of objects/things embedded with electronics, software, sensors, and network connectivity, Internet of Things (IoT) creates many exciting applications (e.g., smart grids, smart homes, smart cities) by enabling objects/things to collect and exchange data so that they can be sensed and controlled. To fulfill IoT, one essential step is to connect various objects/things (e.g., mobile phones, cars, buildings) so that they can “talk” to each other (i.e., collect and exchange data). However, substantial case studies show that simply connecting them without further collaboration among the objects/things when “talking” to each other leads to unnecessary energy consumption, uncertain security, unstable performance, etc., for IoT. Therefore, collaboration for IoT is very important. Specifically, there are a lot of critical issues in terms of how to perform a robust collaboration among the objects/things for IoT. For instance, how to conduct collaboration among the objects/things so that more energy-efficient communication can be achieved for IoT? How to conduct collaboration among the objects/things so that computing with higher performance can be achieved for IoT? How to improve the security of IoT with collaboration among the objects/things? How to enhance the Quality of Service of IoT with collaboration among the objects/things? How to minimize the overhead costs when objects/things are collaborating in IoT?

This Special Section solicits articles with novel contributions that address such issues regarding collaboration for IoT. Emerging technologies (e.g., fog computing, cognitive computing, software defined networks, deep learning) on collaboration for IoT are particularly welcome. 

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

  • Collaboration for communication in the Internet of Things
  • Collaboration for computing in the Internet of Things
  • Collaboration for energy consumption in the Internet of Things
  • Collaboration for security in the Internet of Things
  • Collaboration for robustness in the Internet of Things
  • Collaboration for Quality of Service in the Internet of Things
  • Fog computing for collaboration in the Internet of Things
  • Cognitive computing for collaboration in the Internet of Things
  • Software defined networks for collaboration in the Internet of Things
  • Deep learning for collaboration in the Internet of Things
  • Testbed on collaboration for the Internet of Things
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.  

Associate Editor:  Chunsheng Zhu, The University of British Columbia, Canada

Guest Editors:

  1. Vincenzo Piuri, Universita’ degli Studi di Milano, Italy
  2. Joel J. P. C. Rodrigues, National Institute of Telecommunications, Brazil; Instituto de Telecomunicações, Portugal
  3. Huansheng Ning, University of Science and Technology Beijing, China
  4. Huan Zhou, China Three Gorges University, China
  5. Zhangbing Zhou, China University of Geosciences, China

Relevant IEEE Access Special Sections:

  1. Real-Time Edge Analytics for Big Data in Internet of Things
  2. Multimedia Analysis for Internet-of-Things
  3. Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things

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: chunsheng.tom.zhu@gmail.com