Details
Smart Network Inspired Paradigm and Approaches in IoT Applications
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96,29 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 20.07.2019 |
| ISBN/EAN: | 9789811386145 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This book gathers high-quality research articles and reviews that reflect the latest advances in the smart network-inspired paradigm and address current issues in IoT applications as well as other emerging areas. </p>
<p>Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications. </p><br>
<p>Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications. </p><br>
<p>A Reactive Hybrid Metaheuristic Energy Efficient Algorithm For Wireless Sensor Networks.- Maintaining Consistent Firewalls and Flows (Cff) in Software Defined Networks.- Energy-efficient Broadcasting of Route-request Packets (E2BR2) in Ad Hoc Networks.- Decision Support System for Smart Grid using Demand Forecasting Models.- Internet of Things.- The Concept, Inherent Security Challenges and Recommended Solutions.- Critical challenges in access management schemes for Smartphones: An Appraisal.- Using fuzzy neural networks regularized to supportsoftware for predicting autism in adolescents on mobile devices.- Performance Evaluation of Supervised Machine Learning Classifiers for Analyzing Agricultural Big Data.</p><br>
<p>Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University, Egypt, where he is also Director of the Distributed Sensing and Intelligent Systems Lab. Dr. Elhoseny has authored or co-authored over 100 ISI journal articles, conference proceedings, book chapters, and several books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, and Intelligent Systems. Dr. Elhoseny serves as the Editor-in-Chief of the International Journal of Smart Sensor Technologies and Applications, and as an Associate Editor of several journals such as IEEE Access. </p><p><b>AMIT KUMAR SINGH</b> received the bachelor’s degree and M.Tech. in computer science and engineering from Veer Bahadur Singh Purvanchal University, Jaunpur, India (2005) and Jaypee University of Information Technology, Waknaghat, India (2010), prior to completing his Ph.D. degree in computer engineering at the National Institute of Technology, Kurukshetra, India (2015). He worked at the Computer Science and Engineering Department, Jaypee University of Information Technology, from 2008 to 2018. He is currently an Assistant Professor at the Computer Science and Engineering Department, National Institute of Technology at Patna (An Institute of National Importance), Patna, India. Dr. Singh has authored over 80 peer-reviewed journal articles, conference publications, and book chapters, as well as the books Medical Image Watermarking: Techniques and Applications (2017), and Animal Biometrics: Techniques and Applications (2018, Springer International Publishing). He has also edited several books and currently serves on the Editorial Board of two peer-reviewed international journals. His research interests include Data Hiding, Biometrics, and Cryptography. </p>
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<p>This book gathers high-quality research articles and reviews that reflect the latest advances in the smart network-inspired paradigm and address current issues in IoT applications as well as other emerging areas. </p>
<p>Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications. </p><br>
<p>Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications. </p><br>
Is written in plain and easy-to-follow language Describes new concepts when they first appear, supporting readers without a prior background in the field Introduces students and aspiring practitioners to the subject of destination marketing in a structured manner Covers all aspects of the smart network-inspired paradigm and addresses current issues in IoT applications
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