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IEEE COMMAG FT 2017 : Feature Topic on Advanced Industrial Wireless Sensor Networks and Intelligent IoT


When Mar 20, 2017 - Jul 1, 2017
Submission Deadline Jul 1, 2017
Notification Due Oct 1, 2017
Final Version Due Nov 15, 2017

Call For Papers


Over the past decade, the fast expansion of the Internet of Things (IoT) paradigm and wireless communication technologies have created many scientific and engineering challenges that call for ingenious research efforts from both academia and industry. The IoT paradigm now covers several technologies beyond RFID and WSNs (Wireless Sensor Networks) and the application field expansion has exceeded expectations. According to Cisco IBSG (Internet Business Solution Group), more than 50 billion devices are expected to be connected to the internet by 2020 and 20 % of which are from the industry sector. Therefore, integrating the IoT concept and Industrial Wireless Sensor Networks (IWSNs) is an attractive choice for industrial process and is mainly needed to reap the full benefits of the IoT.

Indeed, IWSNs are an emerging class of WSNs that face specific constraints linked to the particularities of the industrial production. IWSNs bring several advantages and have become inseparable from the manufacturing process due to their low-cost, reliability and robustness in harsh environments, energy efficiency and mobility. IWSNs involve large amount of wireless devices such as sensors for failure monitoring and detection and RFID tags for machine identification. Combining IWSN with IoT may optimize the operational efficiency, automation, maintenance and rationalization. Moreover, it ensures large scale interconnection between machines, computers and people enabling intelligent industrial operations. However, IWSN and IoT integration will need to solve a more complex challenge of combining reliable communications and low- cost computing together.

The aim of this Feature Topic (FT) is to address together innovative developments resorting to the state-of-the-art technologies and ideas in areas related to advanced industrial wireless sensor networks and intelligent IoT. The FT is seeking latest findings from research and ongoing projects relevant to industrial networks’ smart integration with IoT. Topics of interest include, but are not limited to:

Intelligent Middleware for IWSN Integration
Industrial Internet of Things (IIoT)
Energy Efficient Technologies for Industrial Networks interconnection
Cloud Computing for IoT over Industrial Wireless Sensor Networks
Big Data Analysis and Mining for IIoT


Manuscript Submission Deadline: July 1, 2017
Decision Notification: October 1, 2017
Final Manuscript Submission: November 15, 2017
Publication: February 2018


Articles should be tutorial in nature and written in a style comprehensible and accessible to readers outside the specialty of the article. Complete guidelines for prospective authors can be found at The Guest Editors reserve the right to reject papers they unanimously deem to be either out of the scope of this Feature Topic or otherwise extremely unlikely to be accepted after a peer review process.

It is important to note that IEEE Communications Magazine strongly limits mathematical content, and the number of figures and tables. Mathematical equations should not be used (in justified cases up to three simple equations are allowed). Article length (introduction through conclusions, excluding figures, tables and their captions) should not exceed 4,500 words. Figures and tables should be limited to a combined total of six (6). The number of archival references is limited to fifteen (15). All references to online sources (website URLs, web-posted papers and reports) are required to show an “Accessed on” date. All articles must be submitted through the IEEE Manuscript Central site ( to the "February 2018 / Advanced IWSNs and Intelligent IoT" category by the submission deadline according to the following schedule:

The Editorial Team for “Advanced Industrial Wireless Sensor Networks and Intelligent IoT”

Dr. Djallel Eddine Boubiche, University of Batna 2, Algeria
Dr. Al-Sakib Khan Pathan, Southeast University, Bangladesh
Dr. Huiyu Zhou, Queen's University, Belfast, UK
Dr. Jaime Lloret Mauri, Polytechnic University of Valencia, Spain
Dr. Seongik Hong, Amazon Web Services, Boston, USA
Dr. Syed Obaid Amin, Huawei Technologies, USA
Dr. Mohamed Ali Feki, Nokia, Belgium

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