
Mobile Networks and Management
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Organization
- Contents
- The Application of Artificial Intelligence for Smart City
- A Portable Brain-Computer Interface Using Micro-Display for Future Mobile Communication System
- 1 Introduction
- 2 Hardware Platform
- 2.1 Aircraft
- 2.2 AR Monocular Micro-Display
- 2.3 Neural Data Acquisition Device
- 2.4 SSVEP Stimulation Design
- 2.5 The Features of SSVEP
- 3 Software Implementation
- 3.1 System Architecture
- 3.2 Detection Algorithm
- 3.3 Operation Instruction
- 3.4 Emergency Response
- 4 Results and Analysis
- 4.1 The Description of Online Experiment
- 4.2 The Paradigms of Idle State Detection
- 4.3 The Detection Performance
- 5 Discussion and Conclusion
- References
- DASH Live Video Streaming Control Using Actor-Critic Reinforcement Learning Method
- 1 Introduction
- 2 Related Work
- 3 Simulation Mechanism
- 4 Proposed Method
- 5 Evaluation
- 5.1 Metrics
- 5.2 Experiment Results
- 6 Conclusion and Future Work
- References
- Machine Learning Enhanced CPU-GPU Simulation Platform for 5G System
- 1 Introduction
- 2 5G System Simulation Parallel Framework
- 3 Classification Algorithm and Parallel Gain Analysis
- 3.1 Classification Algorithm
- 3.2 Parallel Gain Analysis
- 4 5G System-Level Simulation and Results Evaluation
- 4.1 5G System-Level Simulation
- 4.2 Results Evaluation
- 5 Conclusion
- References
- Deep Reinforcement Learning-Based Resource Allocation for 5G Machine-Type Communication in Active Distribution Networks
- 1 Introduction
- 2 Related Work
- 3 System Model
- 4 Problem Formulation
- 4.1 Repeated Data Transmission Analysis
- 4.2 Problem Formulation
- 5 Deep Reinforcement Learning Assisted Scheduling and Resource Allocation
- 5.1 Pointer Network
- 5.2 Beam Search
- 5.3 Problem Redefinition
- 5.4 Optimize Using the Strategy Gradient
- 5.5 Resource Scheduling Framework
- 6 Simulation
- 6.1 Setup
- 6.2 Experiment Result
- 7 Conclusion
- References
- AppSense: Detecting Smartphone Usage via WiFi Signals
- 1 Introduction
- 2 Background and Preliminary
- 2.1 RSS and CSI
- 2.2 Preliminary Experiments
- 3 System Design
- 3.1 Data Receiving Module
- 3.2 Pre-processing Module
- 3.3 Testing and Detecting Module
- 4 Implementation and Evaluation
- 4.1 Implementation
- 4.2 Evaluation
- 5 Related Work
- 5.1 RSSI Based Work
- 5.2 CSI Based Work
- 6 Conclusion and Future Work
- References
- A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning
- 1 Introduction
- 2 MEC System Model and Problem Formulation
- 2.1 MEC Network Model
- 2.2 Computation Model
- 2.3 Problem Formulation
- 3 Offloading Time and Energy Optimization
- 3.1 MDP Model Formulation
- 3.2 Deep Q-Network
- 4 Experiment
- 4.1 Experiment Settings
- 4.2 Experiment Results
- 5 Conclusion
- References
- Advanced Technology in Edge and Fog Computing
- How to Select SF and BW for 2.4 GHz LoRa Ad-Hoc Communication: From Energy Consumption Perspective
- 1 Introduction
- 2 LoRa Technology and Related Works
- 3 Energy Model for LoRa N2N Communication
- 3.1 The Problem of Existing Energy Model
- 3.2 Improve Energy Model for LoRa N2N Communication
- 4 Performance Evaluation
- 5 Conclusion
- References
- FSE-MV: Compressed Domain Video Information Assisted Hybrid Real-Time Vehicle Speed Estimation
- 1 Introduction
- 2 Related Works
- 2.1 Compressed Domain Target Segmentation
- 2.2 Vehicle Speed Estimation
- 3 FSE-MV: Fast Speed Estimation Based on MV
- 3.1 Overview of FSE-MV
- 3.2 MV Extraction
- 3.3 MV Pre-processing
- 3.4 Target Detection and Segmentation
- 3.5 Target Tracking
- 3.6 Speed Estimation with Coordinate Transformation
- 4 Experiment
- 4.1 Setup
- 4.2 Step-Wise Demonstration
- 4.3 Performance Evaluation
- 4.4 Experiment Summary
- 5 Conclusion
- References
- WiMPP: An Indoor Multi-person Positioning Method Based on Wi-Fi Signal
- 1 Introduction
- 2 Related Work
- 2.1 Related Research Review
- 3 System Design
- 3.1 2D MUSIC Algorithm
- 3.2 Convolutional Neural Network
- 3.3 Neural Network Structure
- 3.4 Module Introduction
- 4 Experiment and Result Analysis
- 4.1 Evaluation Index
- 4.2 Experimental Setup
- 4.3 Experimental Results
- 5 Conclusion
- References
- Task Scheduling and Resource Management in MEC-Enabled Computing Networks
- 1 Introduction
- 2 System Model
- 2.1 Computation Offloading Model
- 2.2 MEC Server Computation Model
- 2.3 Task and Computation Queueing Models
- 3 Problem Formulation
- 4 Algorithm Design Framework
- 4.1 The Lyapunov Optimization-Based Algorithm
- 5 Design of Control Strategies
- 5.1 Power Allocation and Subcarrier Assignment
- 5.2 Computation Time Allocation
- 5.3 Postponing Time Allocation
- 5.4 Optimal CPU-Cycle Frequency
- 6 Simulation Results
- 7 Conclusion
- References
- Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission
- 1 Introduction
- 2 System Model
- 2.1 Delay Model and Latency Guarantee
- 2.2 Available Unlicensed Spectrum
- 2.3 Data Rates Analysis
- 2.4 Power Consumption
- 3 Power Consumption Minimization
- 3.1 Joint Power and Spectrum Allocation
- 3.2 Optimal Algorithm Development
- 4 Simulation Results
- 4.1 Performance Evaluation of the URLLC System
- 4.2 Impact of the Available Unlicensed Spectrum Resource
- 5 Conclusion
- References
- Relay-Assisted Task Offloading Optimization for MEC-Enabled Internet of Vehicles
- 1 Introduction
- 2 Introduction
- 2.1 Network Model
- 2.2 Transmission Model
- 2.3 Computation Model
- 3 Optimal Offloading Scheme and Joint Selection Algorithm
- 3.1 Optimal Offloading Scheme
- 3.2 Joint Selection Algorithm
- 4 Simulation Result and Discussion
- 5 Conclusion
- References
- Emerging Technologies and Applications in Mobile Networks and Management
- WiMTAR: A Contactless Multi-target Activity Recognition Model
- 1 Introduction
- 2 Basic Theory
- 2.1 Problem Definition
- 2.2 Frequency Energy Graph
- 2.3 CC-ICA Algorithm
- 3 WiMTAR Architecture
- 3.1 ABiGRU
- 3.2 TCN
- 3.3 Activity Recognition Network
- 4 Experimental Results and Analysis
- 4.1 Experimental Setup
- 4.2 Experimental Results
- 5 Conclusion
- References
- WiBFall: A Device-Free Fall Detection Model for Bathroom
- 1 Introduction
- 2 Related Work
- 2.1 Radar-Based
- 2.2 Infrared-Based
- 2.3 Wi-Fi-Based
- 3 Preliminaries
- 3.1 Problem Definition
- 3.2 Feature Reconstruction
- 4 System Design
- 4.1 Network Structure
- 4.2 Classifier
- 5 Experimental Results
- 5.1 Experimental Setting
- 5.2 Comparison of Different Models
- 6 Conclusions
- References
- A Decentralized Scheduling Function for TSCH-Based Wireless Networks
- 1 Introduction
- 2 Decentralized Scheduling Function
- 3 Simulation Setup and Results
- 3.1 Simulation Setup
- 3.2 Experimental Results
- 4 Conclusion
- References
- Feature Detection Based Spectrum Sensing in NOMA System
- 1 Introduction
- 2 System Model
- 3 The Proposed Method of Feature Detection in NOMA
- 3.1 Framework of the Receiver
- 3.2 Principle of Feature Detection
- 3.3 False Alarm Probability Derivation
- 4 Simulation Results and Performance Analysis
- 4.1 Mode 1: Same Transfer State
- 4.2 Mode 2: Weak User Keep Transmitting
- 4.3 Threshold Adjustment for Mode 2
- 5 Conclusion
- References
- A Scalable IoT Data Collection Method by Shared-Subscription with Distributed MQTT Brokers
- 1 Introduction
- 2 Related Work
- 3 Scalable IoT Data Collection with MQTT Brokers
- 4 Load Testing Tool
- 5 Evaluation
- 5.1 Throughput
- 5.2 Latency
- 6 Conclusion
- References
- A Fog-Based IOV for Distributed Learning in Autonomous Vehicles
- 1 Introduction
- 2 System Model
- 3 Numerical Analysis
- 3.1 Worker Solicitation Delay
- 3.2 Update Collection Delay
- 4 Performance Evaluation
- 4.1 Simulation Configuration and Evaluation Metrics
- 4.2 Evaluation Results
- 5 Conclusion
- References
- Recent Advances in Communications and Computing
- Time-Based Distributed Collaborative Filtering Recommendation Algorithm
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 3.1 Matrix Factorization
- 3.2 System Model
- 3.3 Time Factor
- 4 Algorithm Implementation
- 4.1 Algorithm Design
- 4.2 Data Processing
- 4.3 Recommendation Algorithm
- 5 Performance Evaluation
- 5.1 Datasets and Evaluation Metrics
- 5.2 Experiment Settings
- 5.3 Evaluation
- 6 Conclusion
- References
- A Novel Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking
- 1 Introduction
- 2 Related Work
- 2.1 NDN in Nutshell
- 2.2 Forwarding Strategies in NDN Based VANETs
- 3 Proposal
- 3.1 Overview
- 3.2 Visual-Identification and Packet Structures
- 3.3 Protocol Design
- 4 Performance Evaluation
- 4.1 Scenario Settings and Evaluated Methods
- 4.2 Simulation Results
- 5 Conclusions
- References
- A Sleep Scheduling Algorithm with Limited Energy Collection in Energy Harvesting Wireless Sensor Networks
- 1 Introduction
- 2 Related Work
- 3 A Sleep Scheduling Algorithm with Limited Energy Collection
- 3.1 A Judgment Criteria of Redundant Nodes
- 3.2 Sleep Scheduling Method of a Node
- 4 Simulation Results
- 4.1 Simulation Parameters
- 4.2 Simulation Results
- 5 Conclusions
- References
- NOMA-Based Statistical Signal Transmission for Beyond 5G Communications
- 1 Introduction
- 2 System Design
- 2.1 Transceiver Architecture Design
- 2.2 Detection Work Flow Design
- 2.3 Properties of NOMA-SST Detection Process
- 3 Differential Window Integration Strategy
- 4 Numerical Results
- 5 Conclusion
- References
- Fuzzy MP - A Fuzzy Digital Signature Scheme with Biometrics
- 1 Introduction
- 1.1 Related Works
- 1.2 Motivations
- 1.3 Our Contribution
- 1.4 Organization
- 2 Preliminaries
- 2.1 Digital Signature Scheme
- 2.2 Bilinear Pairing
- 2.3 q-strong co-Diffie-Hellman (co-SDH) Problem
- 2.4 ArcFace Model
- 2.5 Distance Recoverable Encryption (DRE)
- 2.6 Index-of-Max (IoM) Hashing
- 2.7 MoniPoly Commitment Scheme
- 3 Proposed Scheme
- 3.1 Overview of our Proposed Scheme
- 3.2 ArcFace Feature Extractor
- 3.3 Distance Recoverable Encryption (DRE)
- 3.4 Index-of-Max (IoM) Hashing
- 3.5 Fuzzy MP Signature
- 4 Experiments and Analysis
- 4.1 Experiment Setup
- 4.2 Performance Measurement
- 4.3 Unlinkability Analysis
- 4.4 Security Attacks
- 5 Conclusion
- References
- A Fuzzy Logic Controller for Greenhouse Temperature Regulation System Based on Edge Computing
- 1 Introduction
- 2 System Structure
- 3 Dynamic Modelling and Simulation of Greenhouse
- 3.1 Temperature Dynamic Model
- 3.2 Humidity Dynamic Model
- 3.3 Simulation of Greenhouse Dynamic Temperature and Humidity Model
- 4 Fuzzy Logic Controller Design
- 4.1 Fuzzification
- 4.2 Fuzzy Rule Base
- 4.3 Defuzzification
- 4.4 Fuzzy Logic Controller Simulation
- 5 Edge Computing on Greenhouse System
- 6 Results and Analysis
- 7 Conclusion and Future Work
- References
- Workshop: The New Era of Computer Network by using Machine Learning
- Moving Object Recognition for Airport Ground Surveillance Network
- 1 Introduction
- 2 The Airport Ground Surveillance Network
- 3 Moving Object Recognition
- 3.1 Motion Estimation Network
- 3.2 Regression and Classification Blocks
- 3.3 Conflict Prediction
- 4 Experimental Results
- 4.1 Experiment Settings
- 4.2 Dataset
- 4.3 Evaluation Metrics
- 4.4 Qualitative Analysis
- 5 Conclusion
- References
- IOT Based Sensor Monitoring System for Smart Complex and Shopping Malls
- 1 Introduction
- 2 Related Work
- 3 Proposed Two Stage Energy Efficient Routing Protocol (TS-EERP)
- 3.1 Setup Phase
- 3.2 Steady State Phase
- 4 Simulation Results and Validation
- 5 Conclusion and Research Directions
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.