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Mixed-criticality industrial wireless networks
Introduces criticality to label important data,which is then allocated more transmission resources, ensuring that important data’sQoS requirements can be met to the extent possible.To help readers understand how to apply mixed criticality to industrial wirelessnetworks, the content is divided into four parts. First, we introduce how to integratethe model of mixed-criticality data into industrial wireless networks (Chap. 1).Second, we explain how to analyze the schedulability of mixed-criticality data underexisting scheduling algorithms (Chaps. 2 and 3). Third, we present a range of novelscheduling algorithms for mixed-criticality data (Chaps. 4, 5, and 6). Finally, weconclude this book and discuss future research directions (Chap. 7).
Digital transformation in semiconductor manufacturing ; Proceedings of the 1st and 2nd European advances in digital transformation Conference, EADTC 2018, Zittau, Germany and EADTC 2019, Milan, Italy
This book reports on cutting-edge electrical engineering and microelectronics solutions to foster and support digitalization in the semiconductor industry.
