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SCI indexed journal (IF: 0.906) Special Issue on "Internet of Things (IoT)
Management and Analytics with Cloud Infrastructure and Services"
Internet of Things (IoT) changed and will drastically change our ways of
perceiving and interacting with the real world by provisioning an
unprecedented amount of precious data. Sensing devices such as mobile
phones, wearable devices, and body sensors have been or will be
parts of our daily life. It is estimated that we have nearly 13 billion
connected devices at present and the number will grow to over 29 billion by
2020. Such immense number of connected sensors and actuators pose serious
challenges on device and network management, as well as on how to distill
the valuable insights from the big IoT data.
As the IoT concept becomes more familiar, how businesses can derive value
from it is an inevitable and significant problem. Increasingly,
uncovering the value of IoT data by analytics is deemed as the key to make
the research and investment in IoT technology worthwhile.
With large-scale deployment of sensing devices, the data from IoT devices
are of ever-increasing large volume and of various formats and types. The
cloud computing infrastructure and services have the potential of being
widely employed to support IoT applications by providing “unlimited”
computing and storing resources. One serious issue for IoT is to make it
fit with cloud infrastructure and services.
This special issue solicits original, high quality, and novel contributions
on all facets of IoT management and IoT data analytics, especially with
cloud infrastructure and services, from academic researchers and industrial
practitioners and administrators.
Potential topics include, but are not limited to:
Architecture or frameworks on IoT management and analytics
Sensing/sensor cloud architecture and applications
IoT-cloud interworking under availability/quality constraints
Cloud services and platforms for IoT applications
Quality of sensed data and deriving inferences, QoS of IoT related services
Sensing as a service and services related to IoT
Data mining/machine learning techniques for IoT data analytics
Big data platforms and tools for IoT applications and data
Online stream or time series processing of big sensing data
Privacy, security, and trust issues in IoT management and analytics
Authors can submit their manuscripts via the Manuscript Tracking System at:
Manuscript Due: Friday, 7 October 2016
First Round of Reviews: Friday, 30 December 2016
Publication Date: Friday, 24 February 2017
International Journal of Distributed Sensor Networks (IJDSN)
2015 Impact Factor: 0.906
2015 Ranking: 95/143 in Computer Science, Information Systems | 51/82 in
2016 Release of Journal Citation Reports, Source: 2015 Web of Science Data
eISSN: 15501477| ISSN: 15501477
IJDSN is a JCR ranked, peer-reviewed, open access journal that focuses on
applied research and applications of sensor networks. The goal of this
journal is to provide a forum for the publication of important research
contributions in developing high performance computing solutions to
problems arising from the complexities of these sensor network systems.
Articles highlight advances in uses of sensor network systems for solving
computational tasks in manufacturing, engineering and environmental systems.
Xuyun Zhang, University of Auckland, Auckland, New Zealand
Qiang He, Swinburne University of Technology, Melbourne, Australia
Lianyong Qi, Nanjing University, Nanjing, China
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