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Advanced Industrial Wireless Sensor Networks and Intelligent IoT

Feature Topic


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


Djallel Eddine Boubiche
University of Batna 2, Algeria

Huiyu Zhou
Queen's University, Belfast, UK

Jaime Lloret Mauri
Polytechnic University of Valencia, Spain

Mohamed Ali Feki
Nokia, Belgium

Al-Sakib Khan Pathan
Southeast University, Bangladesh

Seongik Hong
Amazon Web Services, Boston, USA

Syed Obaid Amin
Huawei Technologies, USA