Gaj / Sawicki / Kwiecien | Computer Networks | E-Book | sack.de
E-Book

E-Book, Englisch, Band 1039, 414 Seiten, eBook

Reihe: Communications in Computer and Information Science

Gaj / Sawicki / Kwiecien Computer Networks

26th International Conference, CN 2019, Kamien Slaski, Poland, June 25–27, 2019, Proceedings
1. Auflage 2019
ISBN: 978-3-030-21952-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

26th International Conference, CN 2019, Kamien Slaski, Poland, June 25–27, 2019, Proceedings

E-Book, Englisch, Band 1039, 414 Seiten, eBook

Reihe: Communications in Computer and Information Science

ISBN: 978-3-030-21952-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book constitutes the thoroughly refereed proceedings of the 26th International Conference on Computer Networks, CN 2019, held in Gliwice, Poland, in June 2019.The 29 full papers presented were carefully reviewed and selected from 64 submissions. They are organized in topical sections on computer networks; communications; and queueing theory and queuing networks.
Gaj / Sawicki / Kwiecien Computer Networks jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Computer Networks.- Performance Modeling of the Consensus Mechanism in a Permissioned Blockchain.- An Architectural Framework Proposal for IoT Driven Agriculture.- The Procedure of Key Distribution in Military IoT.- Modeling of Computer Networks Using SAP HANA Smart Data Streaming.- An Impact of Jamming Signal on the Energy Efficiency of ZigBee Network Elements.- Quantum Switch Realization by the Quantum Lyapunov Control.- Simulation Analysis of Packet Delivery Probability in LoRa Networks.- Comparative Study Between Reactive and Proactive Protocols of (Manet) in Terms of Power Consumption and Quality of Service.- Extending Lifetime of Wireless Sensor Network in Application to Road Traffic Monitoring.- BotGRABBER: SVM-based Self-Adaptive System for the Network Resilience Against the Botnets’ Cyberattacks.- Cyber Attack Detection by Using Neural Network Approaches: Shallow Neural Network, Deep Neural Network and AutoEncoder.- Temporal Characteristics of CodeSys Programmed Raspberry Pi and Beaglebone Black Embedded Devices.- Ateb-prediction Method use for High Quality Video Traffic Forecasting.- A Comparison of Request Distribution Strategies Used in One and Two Layer Architectures of Web Cloud Systems.- Communications.- Mobile Voice Traffic Load Characteristics Based on Real Data.- Vehicle in Motion Weighing Based on Vibration Data Collected from Sensor Network.- Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks.- Accuracy of UWB Location Tracking Devices when on the Move.- Cells Interrelation in Mobile Networks.- Communication Model of Smart Substation for Cyber-Detection Systems.- Virtual Oversampling of Sparse Channel Impulse Response.- Recreation of Containers for High Availability Architecture and Containerbased Applications.- Queueing Theory and Queuing Networks.- Analysis of Energy Consumption in Cloud Center with Tasks Migrations.- Queueing Systems with Non-Homogeneous Customers and Infinite Sectorized Memory Space.- Transient Solution of a Heterogeneous Queuing System with Balking, and Retention of Reneging Customers.- Cluster-based Web System Models for Different Classes of Clients in QPN.- Performance Analysis of the HTTP Protocol in Networked Control Systems.- A System with Warm Standby.- AQM Mechanism with the Dropping Packet Function based on the Answer of Several PI a Controllers.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.