[CALL FOR PAPERS]
IEEE Transactions on Network Science and Engineering
Special Issue on Edge computing for Internet of Things
GUEST EDITORS:
Qiang Ye (Lead), Dalhousie University, Canada. Email: q...@cs.dal.ca
<mailto:q...@cs.dal.ca>
M. Jamal Deen, McMaster University, Canada. Email: ja...@mcmaster.ca
<mailto:ja...@mcmaster.ca>
Antonio Puliafito, University of Messina, Italy. Email: apuliaf...@unime.it
<mailto:apuliaf...@unime.it>
Lin Zhang, Beihang University, China. Email: zhang...@buaa.edu.cn
<mailto:zhang...@buaa.edu.cn>
TOPIC SUMMARY:
The Internet of Things (IoT) are expected to improve the quality of human lives
through billions of Internet-based devices. To satisfy the computation and
storage requirements of IoT, cloud computing has served as the most important
computing infrastructure. However, with the explosion of the number of devices
in IoT (expected to reach 50 billion by 2020), a large volume of raw data will
be continuously generated by IoT devices, consequently making cloud computing
inadequate to efficiently and securely handle the data. In particular, cloud
computing will be highly limited in terms of network bandwidth and privacy
protection in IoT. To solve this problem, many researchers have attempted to
move data computation and service provisioning from the cloud to the edge,
which results in the area of edge computing and the related fog computing.
Early-stage research has indicated that edge computing could potentially enable
IoT applications to meet their latency/delay requirements, improve the
scalability and energy efficiency of IoT systems, and facilitate contextual
information processing. Nevertheless, a series of challenging problems need to
be addressed in order to fully utilize edge computing for IoT. For instance,
most of the computation resources in edge computing are heterogeneous mobile
devices that are highly energy-hungry, which means that edge computing tends to
be unreliable. Moreover, how to efficiently distribute computation/data storage
and how to combine edge computing with cloud computing in order to provide
scalable services need to be further studied. In addition, how to support
services without compromising privacy and security is a challenging problem in
edge computing. This special issue aims to provide a prime venue for
researchers from both academia and industry to discuss the key problems and
present the innovative solutions in the area of edge computing for IoT.
The topics of interest include, but are not limited to:
· Edge/Fog computing architecture for IoT
· Modeling and performance analysis of edge computing for IoT
· Communication and networking technologies in edge computing for IoT
· Mobile computing resource management in edge computing for IoT
· Machine learning and deep learning in edge computing for IoT
· QoS and QoE provisioning in edge computing for IoT
· Trust, security and privacy in edge computing for IoT
· Energy management in edge computing for IoT
· Collaboration of edge computing and cloud computing for IoT
· Experiences in delivering edge/fog-based services
· Open issues and challenges in edge computing for IoT
IMPORTANT DATES:
· Manuscripts due: Apr/01/2019
· Peer reviews to authors: July/01/2019
· Revised manuscripts due: Aug/01/2019
· Second-round reviews to authors: Oct/01/2019
· Final accepted manuscript due: Oct/31/2019
SUBMISSION GUIDELINES:
Prospective authors are invited to submit their manuscripts electronically
after the “open for submissions” date, adhering to the IEEE Transactions on
Network Science and Engineering guidelines
(http://www.computer.org/portal/web/TNSE/author
<http://www.computer.org/portal/web/TNSE/author>). Please submit your papers
through the online system (https://mc.manuscriptcentral.com/TNSE-cs
<https://mc.manuscriptcentral.com/TNSE-cs>) and be sure to select the special
issue or special section name. Manuscripts should not be published or currently
submitted for publication elsewhere. Please submit only full papers intended
for review, not abstracts, to the ScholarOne portal. If requested, abstracts
should be sent by e-mail to the Guest Editors directly.
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