Smart Network Inspired Paradigm and Approaches in IoT Applications [electronic resource] /
Elhoseny, Mohamed.editor.(orcid)0000-0001-6347-8368https://orcid.org/0000-0001-6347-8368edt
Singh, Amit Kumar.editor.
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.
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.
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.
Application software.
Big data.
Mobile computing.
Information Systems Applications (incl. Internet).
Computer Appl. in Administrative Data Processing.
Big Data.
Mobile Computing.