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Smart Network Inspired Paradigm and Approaches in IoT Applications / edited by Mohamed Elhoseny, Amit Kumar Singh.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Application software.
- Big data.
- Mobile computing.
- Information Systems Applications (incl. Internet).
- Computer Appl. in Administrative Data Processing.
- Big Data.
- Mobile Computing.
- Local Subjects:
- Information Systems Applications (incl. Internet).
- Computer Appl. in Administrative Data Processing.
- Big Data.
- Mobile Computing.
- Physical Description:
- 1 online resource (IX, 253 pages) : 110 illustrations, 95 illustrations in color
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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. 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-13-8614-5
- 9789811386145
- 9789811386138
- 9789811386152
- 9789811386169
- Access Restriction:
- Restricted for use by site license.
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