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Smart Network Inspired Paradigm and ...
~
Elhoseny, Mohamed.
Smart Network Inspired Paradigm and Approaches in IoT Applications
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Smart Network Inspired Paradigm and Approaches in IoT Applications/ edited by Mohamed Elhoseny, Amit Kumar Singh.
other author:
Elhoseny, Mohamed.
Description:
IX, 253 p. 110 illus., 95 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Application software. -
Online resource:
https://doi.org/10.1007/978-981-13-8614-5
ISBN:
9789811386145
Smart Network Inspired Paradigm and Approaches in IoT Applications
Smart Network Inspired Paradigm and Approaches in IoT Applications
[electronic resource] /edited by Mohamed Elhoseny, Amit Kumar Singh. - 1st ed. 2019. - IX, 253 p. 110 illus., 95 illus. in color.online resource.
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.
ISBN: 9789811386145
Standard No.: 10.1007/978-981-13-8614-5doiSubjects--Topical Terms:
528147
Application software.
LC Class. No.: QA76.76.A65
Dewey Class. No.: 005.7
Smart Network Inspired Paradigm and Approaches in IoT Applications
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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.
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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.
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