Presents the components, challenges, and solutions of wireless automation as enablers for industry 4.0
This timely book introduces the state of the art in industrial automation techniques, concentrating on wireless methods for a variety of applications, ranging from simple smart homes to heavy-duty complex industrial setting with robotics accessibility. It covers a wide range of topics including the industrial revolution enablers, applications, challenges, their possible solutions, and future directions.
Wireless Automation as an Enabler for the Next Industrial Revolution opens with an introduction to wireless sensor networks and their applications in various domains, emphasizing industrial wireless networks and their future uses. It then takes a look at life-span extension for sensor networks in the industry, followed by a chapter on multiple access and resource sharing for low latency critical industrial networks. Industrial automation is covered next, as is the subject of ultra reliable low latency communications. Other topics include: self healing in wireless networks; cost efficiency optimization for industrial automation; a non event-based approach for non-intrusive load monitoring; wireless networked control; and caching at the edge in low latency wireless networks. The book finishes with a chapter on the application of terahertz sensing at nano-scale for precision agriculture.
Wireless Automation as an Enabler for the Next Industrial Revolution is an excellent book for telecom engineers, IoT experts, and industry professionals. It would also greatly benefit researchers, professors, and doctorate and postgraduate students involved in automation and industry 4.0.
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MUHAMMAD A. IMRAN, PHD, is Professor of Communication Systems at the James Watt School of Engineering and the Dean, University of Glasgow, UESTC. He is also an Affiliate Professor at the University of Oklahoma, USA, and a Visiting Professor at 5G Innovation Centre, University of Surrey, UK.
SAJJAD HUSSAIN, PHD, is an Assistant Professor at the University of Glasgow in the James Watt School of Engineering, UK. Dr. Hussain is an IEEE Senior Member and Senior Fellow Higher Education Academy.
QAMMER H. ABBASI, PHD, is an Assistant Professor at the University of Glasgow in the James Watt School of Engineering in addition to Visiting Assistant Professor with Queen Mary University of London. Dr. Abbasi is an IEEE Senior Member and URSI Young Scientist Award winner.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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