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: qye@cs.dal.ca
M. Jamal Deen, McMaster University, Canada. Email: jamal@mcmaster.ca
Antonio Puliafito, University of Messina, Italy. Email: apuliafito@unime.it
Lin Zhang, Beihang University, China. Email: zhanglin@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: 05/01/2019
Peer reviews to authors: 07/01/2019
Revised manuscripts due: 08/01/2019
Second-round reviews to authors: 10/01/2019
Final accepted manuscript due: 10/31/2019

SUBMISSION GUIDELINES:
Prospective authors are invited to submit their manuscripts electronically before the submission
due date, adhering to the IEEE Transactions on Network Science and Engineering guidelines
(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902). Please submit your
papers through the online system (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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