[hpc-announce] [CFP] IEEE TNSE - SI on Data-Driven IoT for Smart Cities

Hongbo Jiang hongbojiang2004 at gmail.com
Thu Sep 26 12:58:27 CDT 2019


IEEE Transactions on Network Science and Engineering
Special Issue on Data-Driven IoT for Smart Cities

Hongbo Jiang, Hunan University, P. R. China. Email: hongbojiang2004 at gmail.com
Liang Cheng, Lehigh University, U.S.A. Email: cheng at lehigh.edu
Arun Iyengar, IBM T.J. Watson Research Center, U.S.A. Email: aruni at us.ibm.com
Edith Ngai, Uppsala University, Sweden. Email: edith.ngai at it.uu.se

Developing smart cities to better support growing urban population is
a global and complex challenge and involves interdisciplinary fields.
Instead of traditional Internet of Contents in human-to-human and
human-to-machine communications, the Internet of Things with
communications among massive numbers of sensors will dominate the
network traffic. Every day, all these smart things are generating
massive data calculated in ZettaBytes. As our cities become smarter,
we face brand new opportunities and challenges. Due to inherent
characteristics of geodistribution in big data generated by networked
sensors deployed for IoT applications, the “smartness” of
infrastructure in future smart cities requires intelligent data
sensing, fusion and mining for monitoring and actuation to ensure
infrastructure reliability and public safety. To make current networks
and services more efficient with the use of cutting-edge technologies,
this issue emphasizes on Internet of Things (IoT) and Data Processing
for smart cities.

The topics of interest for this special issue include, but are not limited to:
• IoT data management in smart cities
• Data analytics and machine learning for smart cities
• Smart transport and mobility in smart cities
• Network science for smart cites
• Fog/edge computing with IoT for smart cities
• Security and data privacy for smart cities
• Smart communications in IoT for smart cities such as M2M, D2D, and 5G
• Novel algorithms, models, frameworks, architectures, platforms in
data-driven IoT for smart cities

• Manuscripts due: (extended!!!) 11/01/2019
• Peer reviews to authors: 1/1/2020
• Revised manuscripts due: 2/15/2020
• Second-round reviews to authors: 4/15/2020
• Final accepted manuscript due: 5/30/2020

Prospective authors are invited to submit their manuscripts
electronically, adhering to the IEEE Transactions on Network Science
and Engineering guidelines
Note that the page limit is the same as that of regular papers. 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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