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Smart network inspired paradigm and ...

Elhoseny, Mohamed.

Smart network inspired paradigm and approaches in IoT applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart network inspired paradigm and approaches in IoT applicationsedited by Mohamed Elhoseny, Amit Kumar Singh.
other author:	Elhoseny, Mohamed.
Published:	Singapore :Springer Singapore :2019.
Description:	ix, 253 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-981-13-8614-5
ISBN:	9789811386145$q(electronic bk.)

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. - Singapore :Springer Singapore :2019. - ix, 253 p. :ill. (some col.), digital ;24 cm.

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$q(electronic bk.)

Standard No.: 10.1007/978-981-13-8614-5doiSubjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857 / .S53 2019

Dewey Class. No.: 004.678

Smart network inspired paradigm and approaches in IoT applications
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300 $a ix, 253 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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650 2 4 $a Mobile Computing. $3 763350
700 1 $a Elhoseny, Mohamed. $3 801302
700 1 $a Singh, Amit Kumar. $3 790854
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