Reliability and Resilience in the Internet of Things
Autor: | Liudong Xing |
---|---|
EAN: | 9780443156113 |
eBook Format: | ePUB |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 14.04.2024 |
Kategorie: | |
Schlagworte: | Cloud-RAID Cross-Domain Dependency Failure Modelling and Mitigation Multi-Path Routing Single-Path Routing edge computing factories of the future fog computing industry 4.0 smart manufacturing the IoT support layer technologies |
195,00 €*
Versandkostenfrei
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
Reliability and Resilience in the Internet of Things explains the latest advances in reliability modelling, analysis, and design techniques for IoT systems. Over the past decade IoT has developed rapidly, and it now spans diverse application domains such as healthcare, home automation, smart manufacture, and smart agriculture. Due to the critical nature of these IoT applications, it is imperative that these systems operate reliably throughout the intended mission time. This timely book provides state-of-the-art coverage on IoT reliability modeling, analysis, and design methods and solutions to help prevent costly malfunctions such as: Failures to capture critical data Network outages Data corruption or loss during transmission or storage From the viewpoint of engineers, researchers, and developers, reliability analysis and design are key to the deployment of IoT systems in critical applications, and this book contains the best advice on the subject available. - Addresses several IoT applications with case studies - Explores solutions in the contexts of IoT-layered architecture as well as cross-layer interactions and dependencies - Explains fundamentals of IoT technology in terms of reliability and resilience
Liudong Xing is currently a professor at the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, United States. Her research interests include reliability and resilience modeling, analysis, and optimization of complex systems and networks (e.g., IoT and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was corecipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 290 journal articles, and 2 books titled Binary Decision Diagrams and Extensions for System Reliability Analysis and Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors. She has served as an associate editor or editorial board member of multiple journals, including Reliability Engineering & System Safety, IEEE Internet of Things Journal, IEEE Access, and International Journal of Mathematical, Engineering and Management Sciences. She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.
Liudong Xing is currently a professor at the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, United States. Her research interests include reliability and resilience modeling, analysis, and optimization of complex systems and networks (e.g., IoT and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was corecipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 290 journal articles, and 2 books titled Binary Decision Diagrams and Extensions for System Reliability Analysis and Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors. She has served as an associate editor or editorial board member of multiple journals, including Reliability Engineering & System Safety, IEEE Internet of Things Journal, IEEE Access, and International Journal of Mathematical, Engineering and Management Sciences. She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.