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5G 2017 - Special Issue on "5G Wireless Networks for IoT and Body Sensors"

Date2017-10-31

Deadline2016-12-15

VenueOnline, Online Online

Keywords

Website

Topics/Call fo Papers

Emerging technologies such as 5G wireless networks, Internet of Things (IoT), and body sensors have been receiving a lot of attention from designers, application developers, and researchers in both academia and industry recently. However, to reap the full benefits of each of the aforementioned technologies when they are seamlessly integrated together, many networking, device, protocol, and interoperability challenges need to be addressed.
In this special issue, we intend to broadly cover various aspects of IoT and body sensor communication in 5G networks. The purpose of this special issue is to publish state-of-the-art research results achieved by researchers and practitioners working in the area of IoT and body sensors in the 5G networking environment. We encourage submissions that describe original and unpublished work with respect to novel scalable, cost-effective, robust techniques and frameworks that can efficiently support future IoT and body sensor communications for the next generation of mobile communication.
# Topics of Interest
Topics of interest include but are not limited to the following:
- 5G Wireless Networks for the Internet of Things
- 5G Wireless Networks for body sensors
- E-Health and mobile health over 5G networks
- Network device discovery in 5G Wireless Networks for IoT and body sensors
- Channel modulation (using PHY/MAC/IP layer) and spectrum utilization techniques in 5G networks
- Resource (network, relay, etc.) management in 5G Wireless Networks for IoT and body sensors
- Energy efficient network design and protocols for IoT and body sensor communication in 5G
- QoE/QoS for IoT and body sensor communication over 5G
- Cloud Computing for IoT and body sensor operating over 5G Wireless Networks
- Performance evaluation studies for IoT and body sensor communication in 5G Wireless Networks
- Network and protocol interoperability for IoT and body sensors in 5G Wireless Networks
# Submission Details
All received submissions within the scope of this special issue will be sent out for blind peer review by three experts in the field and will be evaluated based on their relevance for this special issue, level of novelty, depth of contribution, and overall quality. Submitted articles must be original, unpublished, and not currently under review by other journals. If a preliminary version of the paper was published in conference proceedings, the authors must clearly state this during the submission and the submitted manuscript must be a substantial extension (by at least 40%) of the previously published conference paper. In this case, the authors are also required to clearly explain the enhancements made in the journal version. Submitted articles must be written clearly, in good English, and should not exceed 20 pages (double-spaced).
Authors should follow the Computer Networks manuscript format which can be found at http://www.elsevier.com/journals/computer-networks.... Manuscripts should be submitted online through the Elsevier Editorial System http://ees.elsevier.com/comnet/ and authors should select “5G-IoT and Body Sensors” as the article type for submission.
# Important Dates
Paper Submission Due: December 15, 2016
First Round Notification: February 1, 2017
Revised Paper Submission: March 15, 2017
Second Round Notification: May 1, 2017
Final Papers Due: June 1, 2017
Publication Target Date: 3rd Quarter 2017
# Guest Editors
Professor Joel J. P. C. Rodrigues, National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí-MG, Brazil & Instituto de Telecomunicações, Universidade da Beira Interior, Portugal Email: joeljr-AT-ieee.org
Professor Guangjie Han, Hohai University, Changzhou, China Email: hanguangjie-AT-ieee.org
Dr. Neeraj Kumar, Department of Computer Science and Engineering, Thapar University, Patiala (Punjab), India Email: neeraj.kumar-AT-thapar.edu
Dr. Sherali Zeadally, College of Communication and Information, University of Kentucky, USA Email: szeadally-AT-uky.edu

Last modified: 2016-12-06 22:29:23