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000898979 0248_ $$a10.1007/978-981-13-8
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000898979 08204 $$a004.67/8$$223
000898979 24500 $$aSmart network inspired paradigm and approaches in IoT applications /$$ceditors, Mohamed Elhoseny and Amit Kumar Singh.
000898979 264_1 $$aSingapore :$$bSpringer,$$c[2019]
000898979 264_4 $$c©2019
000898979 300__ $$a1 online resource :$$billustrations
000898979 336__ $$atext$$btxt$$2rdacontent
000898979 337__ $$acomputer$$bc$$2rdamedia
000898979 338__ $$aonline resource$$bcr$$2rdacarrier
000898979 504__ $$aIncludes bibliographical references.
000898979 5050_ $$aIntro; Preface; Special Acknowledgements; Contents; About the Editors; A Reactive Hybrid Metaheuristic Energy-Efficient Algorithm for Wireless Sensor Networks; 1 Introduction; 2 Network Model; 2.1 Energy Model; 2.2 Cluster Head (CH) Formation; 3 Proposed RAP Algorithm; 3.1 ACO Based Path Selection; 3.2 PSO Algorithm; 3.3 Reactive Data Transmission; 4 Results and Discussion; 5 Conclusion; References; Maintaining Consistent Firewalls and Flows (CFF) in Software-Defined Networks; 1 Introduction; 2 Related Work; 3 CFF-Explained with an Example; 4 Modification in Firewall Rule Table and Flow Table
000898979 5058_ $$a5 Implementation6 Conclusion; References; Energy-Efficient Broadcasting of Route-Request Packets (E2BR2) in Ad Hoc Networks; 1 Introduction; 2 Related Work; 3 Why Broadcasting of RREQ Is Special?; 4 Proposed Work E2BR2; 4.1 Network Model; 4.2 Broadcast Route Selection for RREQ Packets; 5 Illustration with an Example; 6 Simulation Results; 7 Conclusion; References; Decision Support System for Smart Grid Using Demand Forecasting Models; 1 Introduction; 1.1 Smart Grid Components; 1.2 Challenges in Smart Grid Implementation; 2 Power Demand Forecasting; 2.1 Types of Power Demand Forecasting
000898979 5058_ $$a2.2 Challenges in Power Demand Forecasting2.3 Difficulties in Demand Forecasting; 3 Short-Term Power Demand Forecasting Methods and Model Results; 3.1 Naive Forecast Method (Same Day/Similar Day Approach); 3.2 Exponential Smoothing Method; 3.3 Autoregressive Moving Average (ARMA) Method; 3.4 Hybrid ARMA (p q) Model; 4 Conclusion; References; Internet of Things-The Concept, Inherent Security Challenges and Recommended Solutions; 1 Introduction; 2 Security-Based Research Evolution in IoT; 3 Prominent Vulnerabilities in IoT; 4 Critical Security Issues in IoT
000898979 5058_ $$a4.1 Secure Communication Issue Between WSN and IoT4.2 Authentication Issue in the Internet of Things; 4.3 Key Management Issue in the Internet of Things; 5 Recommended Solutions; 5.1 Secure Transmission Between Sensor and IoT; 5.2 Robust Authentication in IoT; 5.3 Enhancing Key Management in IoT; 6 Conclusion; References; Critical Challenges in Access Management Schemes for Smartphones: An Appraisal; 1 Introduction; 2 Background Work; 2.1 Biometric-Based Access Management; 2.2 Non-biometric-Based Access Management; 3 Research Challenges and Open Issues; 4 Conclusion; References
000898979 5058_ $$aUsing Fuzzy Neural Networks Regularized to Support Software for Predicting Autism in Adolescents on Mobile Devices1 Introduction; 2 Literature Review; 2.1 Autistic Spectrum Disorder; 2.2 Expert Systems for the Diagnosis of Autism; 2.3 Techniques of Artificial Neural Networks and Fuzzy Systems; 2.4 Fuzzy Neural Network; 2.5 A Mobile System for Autism Identification-Autism Spectrum Disorder Tests App; 2.6 Self-Organized Direction-Aware Data Partitioning Algorithm-SODA; 2.7 Robust Activation Function-RAF; 3 Fuzzy Neural Network for Autism Spectrum Disorder Test; 3.1 Network Architecture
000898979 506__ $$aAccess limited to authorized users.
000898979 520__ $$aThis 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.
000898979 588__ $$aOnline resource ; title from PDF title page (viewed July 24, 2019).
000898979 650_0 $$aInternet of things.
000898979 7001_ $$aElhoseny, Mohamed,$$eeditor.
000898979 7001_ $$aSingh, Amit Kumar$$c(Of Jaypee University of Information Technology),$$eeditor.
000898979 77608 $$iPrint version: $$z9811386137$$z9789811386138$$w(OCoLC)1100628916
000898979 852__ $$bebk
000898979 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8614-5$$zOnline Access$$91397441.1
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