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Internet of Things, Smart Spaces, and Next Generation Networks and Systems : 20th International Conference, NEW2AN 2020, and 13th Conference, ruSMART 2020, St. Petersburg, Russia, August 26-28, 2020, Proceedings, Part I / edited by Olga Galinina, Sergey Andreev, Sergey Balandin, Yevgeni Koucheryavy.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Galinina, Olga, Editor.
Andreev, Sergey, Editor.
Balandin, Sergey., Editor.
Koucheryavy, Yevgeni, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Computer communication networks and telecommunications 2945-9184 ; SL 5, 12525
Computer Communication Networks and Telecommunications, 2945-9184 ; 12525
Language:
English
Subjects (All):
Computer networks.
Computer engineering.
Coding theory.
Information theory.
Computer systems.
Computers, Special purpose.
Software engineering.
Computer Communication Networks.
Computer Engineering and Networks.
Coding and Information Theory.
Computer System Implementation.
Special Purpose and Application-Based Systems.
Software Engineering.
Local Subjects:
Computer Communication Networks.
Computer Engineering and Networks.
Coding and Information Theory.
Computer System Implementation.
Special Purpose and Application-Based Systems.
Software Engineering.
Physical Description:
1 online resource (XVI, 451 pages) : 99 illustrations
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This book constitutes the joint refereed proceedings of the 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020, and the 13th Conference on Internet of Things and Smart Spaces, ruSMART 2020. The conference was held virtually due to the COVID-19 pandemic. The 79 revised full papers presented were carefully reviewed and selected from 225 submissions. The papers of NEW2AN address various aspects of next-generation data networks, with special attention to advanced wireless networking and applications. In particular, they deal with novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and stochastic geometry, while also covering the Internet of Things, cyber security, optics, signal processing, as well as business aspects. ruSMART 2020, provides a forum for academic and industrial researchers to discuss new ideas and trends in the emerging areas.
Contents:
New Generation of Smart Services
Identification of Abnormal Functioning of Devices of Cyber-physical Systems
Energy-Aware Algorithm for LoRa Technology: Prototype Implementation
Methods for reducing the Amount of Data transmitted and stored in IoT Systems
Analysis of IDS Alert Correlation Techniques for Attacker Group Recognition in Distributed Systems
Explaining Android Application Authorship Attribution Based on Source Code Analysis
Next Generation Wired/Wireless Advanced Networks and Systems
The Method of Forming the Digital Clusters for Fifth and Beyond Telecommunication Networks Structure based on the Quality of Service
Analyzing the Effectiveness of Dynamic Network Slicing Procedure in 5G Network by Queuing and Simulation Models
Space Division Multiple Access Performance Evaluation in Ultra-Dense 5G Networks
Analysis of the Response Time Characteristics of the Fog Computing Enabled Real-Time Mobile Applications
Efficiency of Collecting Radiated RF Energy for Modern Wireless Technologies within the Limits of Russian Legislation
Information Security State Analysis of Elements of Industry 4.0 Devices in Information Systems
The State Identification of Industry 4.0 Mechatronic Elements Based on Behavioral Patterns
Data Mining Algorithms Parallelization in the Framework of Agent-Oriented programming
The IoT and Big Data in the Logistics Development. Crude Oil Transportation
Availability of Emergency Power Supply for Voice Communications of Air Traffic Control System
BotSpot: Deep Learning Classification of Bot Accounts within Twitter
Standardization of Road Quality Assessment by Developing Mobile Applications
Service-Oriented Technology Architecture for Value-Based and Personalized Medicine
SoMIAP: Social Media Images Analysis and Prediction Framework
Modeling and Investigation of the Movement of the User of Augmented Reality Service
Audio Interval Retrieval using Convolutional Neural Networks
Modeling the NB-IoT Transmission Process with Intermittent Network Availability
Evaluation of Routing Protocols for Multi-hop Communication in LPWAN
Deep Learning with Long Short-Term Memory for IoT Traffic Prediction
VANET Traffic Prediction using LSTM with Deep Neural Network Learning
Modelling Medical Devices with Honeypots
High Density Internet of Things Network Analysis
Dynamic Programming Method for Traffic Distribution in LoRaWAN Network
Study of the Accuracy of Determining the Location of Radio Emission Sources with Complex Signals when using Autocorrelation and Matrix Receivers in Broadband Tools for Analyzing the Electronic Environment
Electromagnetic Compatibility Research of Non-standard LTE-1800 TDD Base Stations for Railway Applications and Base Stations LTE-1800 FDD
Elimination of Carrier Frequency Offset of Local Oscillator to Improve Accuracy of GNSS Positioning
Modified Direct Positioning Method in Satellite Geolocation
Offset Generation and Interlayer Network Architecture for 5GNR LDPC Parallel Layered Decoder with Variable Lifting Factor Support
Bitstreams multiplex with Trellis-Coded Modulation and the Fixed Point LDPC Decoding Procedure for Centralised Wireless Networks
About Burst Decoding for Block-Permutation LDPC Codes
Estimation of the Possibility of PAPR Reduction for Optimal Signals
Study of Detection Characteristics in Recognition of Simple Radio Pulses and Signals with LFM and PSK in the Autocorrelation Receiver
Wideband Tunable Delay Line for Microwave Signals Based on Radiophotonic Components
BER Performance of SEFDM Signals in LTE Fading Channels with Imperfect Channel Knowledge
Sensitivity of Energy Spectrum Shape and BER to Variation of Parameters Used in Constraint on Correlation Coefficient during FTN Pulse Optimization.
Other Format:
Printed edition:
ISBN:
978-3-030-65726-0
9783030657260
Access Restriction:
Restricted for use by site license.

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