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Engineering: Technological Advancement in Wireless Sensor Networks and Its Scope in Industry 4.0 IoT

Participating journal: Discover Applied Sciences
This Topical Collection is dedicated to highlighting the cutting-edge methods and latest research in the field of smart sensing, primarily in terms of exploring the latest machine learning analytics to extract information from the consequent sensory data, and investigating potential risk and countermeasures to ensure the security and privacy of sensing devices in WSN based Internet of Things/ Industrial Internet of things (IoT/IIoT). It allows researchers in WSN and IoT community to demonstrate their new ideas which may potentially reshape the future of IoT/IIoT. While sensing data have been traditionally processed within a powerful remote cloud server, the recent emergence of edge computing with these communication technologies makes it feasible to perform AI processing at the edges. Edge processing is aimed at overcoming the slower and more expensive method of sending the data to the cloud. The benefits of the parallel development of cloud-edge technologies in wireless sensor networks and communications are manifold. The progress in the development of these technologies has opened several new opportunities in multi-domain applications, such as smart cities, transportation, intelligent manufacturing, and e-Health.

Participating journal

Submit your manuscript to this collection through the participating journal.

Discover Applied Sciences is a multi-disciplinary open access journal covering applied life sciences, chemistry, earth and environmental sciences, engineering, materials science and...

Editors

  • Ashish Bagwari

    Ashish Bagwari

    Dr. Ashish Bagwari is currently working as a Head for the Department of Electronics and Communication Engineering at Women Institute of Technology (WIT) (Institute of State Government) Dehradun, Affiliating Institution of Uttarakhand Technical University (State Government Technical University), India. His areas of interest are cognitive radio networks, mobile communication, sensor networks, wireless, and 5G Communication, digital communication, mobile ad-hoc networks, etc.
  • Bhawani Shankar Chowdhry

    Bhawani Shankar Chowdhry

    Dr. Bhawani Shankar Chowdhry is an Emeritus Professor at the Faculty of Electrical, Electronics and Computer Engineering in Mehran University of Engineering & Technology, Pakistan. He has varied teaching and research experience of more than 3 decades in diversified fields such as Electronics, Telecommunication, Microprocessor Technology, Internet of Things, Telemedicine, Wireless sensor networks, ICT, Intelligent instrumentation etc.
  • Jorge Luis Victória Barbosa

    Jorge Luis Victória Barbosa

    Dr. Jorge Luis Victória Barbosa is currently a Professor at Applied Computing Graduate Program in the University of Vale do Rio dos Sinos, Brazil. His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning, Data Analysis, Games Development, Context Histories, Context Prediction mainly through similarity and pattern analysis, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture.
  • Mohammad Kamrul Hasan

    Mohammad Kamrul Hasan

    Dr. Mohammad Kamrul Hasan is working as a Senior Lecturer, in the Center for Cyber Security, Universiti Kebangsaan Malaysia, Malaysia. His research interest includes Telecommunications, Cyber-Physical and Network Security, Internet of Things, Vehicular Networks, and smart grid technologies.

Articles

Showing 1-6 of 6 articles

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