IoT Communication Performance Analysis

1. Auflage 2022
ISBN: 978-981-19-0861-3
Verlag: Springer Nature Singapore

Buch, Englisch, 208 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 341 g

Reihe: Transactions on Computer Systems and Networks

This book deals with analysis techniques for TCP, UDP, Web, and SOAP data transmission performance on the IoT cloud side, CSMA-type, and multi-hop data transmission performance on the IoT edge side, as well as gateway receives buffer and transmit packet assembly data transmission performance.

As mathematical tools for the analysis of communication performance, universal analysis methods such as stochastic processes, queues, Markov processes, and communication traffic simulators are applied to actual examples, and their usage is described in detail. This book aims to provide lifelong skills for analyzing communication performance that will serve as the basis for the future evolution of the IoT.

Zielgruppe

Research

Autoren/Hrsg.

Ninagawa, Chuzo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Chapter 1   IoT Communication Performance Analysis

      1.1 Overview of IoT (Internet of Things)

            1.1.1 What is IoT?

            1.1.2 IoT Application Services

      1.2 Characteristics of IoT Communications

            1.2.1 IoT Communication Architecture

            1.2.2 IoT Communication Protocol

      1.3 IoT Communication Performance Analysis

            1.3.1 Is communication performance analysis necessary?

            1.3.2 Communication Traffic Transient State

1.4 Communication performance analysis methods

            1.4.1 Communication performance simulation

            1.4.2 Theoretical performance analysis

Chapter 2    Edge-side Network Communication Performance Analysis

                2.1 Edge-side control network communication in IoT

            2.1.1 Edge-side control network

            2.1.2 CSMA Media Access Method

2.2 Theoretical Analysis of Steady-State Performance of Embedded Control Networks

                      2.2.1 Serial Data Transmission in Embedded Systems

                           2.2.2 Data Transmission Performance Analysis Model

2.2.3 Analytical Formula for Data Transmission Throughput

                      2.2.4 Data Transmission Delay Analysis Equation

2.2.5 Verification of Data Transmission Delay Analysis Equation

      2.3 Transient Performance Simulation of Control Network

2.3.1 Control Network Transient Communication Performance Simulation

            2.3.2 Modeling of Transient Burst Communication Load

            2.3.3 Burst Communication Load Simulation

            2.3.4 Evaluation of Data Transmission Delay Time

2.4 Transient Performance Theory Analysis of Embedded Control Network

2.4.1 Load Model for Transient Performance Theory Analysis

            2.4.2 Transient Performance Theoretical Analysis Model

            2.4.3 Asymptotic Approximate State Equation

2.4.4 Asymptotic Approximation Method Analysis Example and Simulation Verification

2.4.5 Communication Performance of Transient Burst Load

      2.5 Performance Theoretical Analysis of Sensor Networks

            2.5.1 Multi-hop wireless data transmission method

            2.5.2 Sensor Placement Distribution Model

            2.5.3 Quantification of sensor placement sparsity

2.5.4 Nearest Neighbor Distance Comparison for Each Sensor Placement Model

2.5.5 Theoretical Analysis Formula for Multi-hop Wireless Data Transmission

2.5.6 Multi-hop Data Transmission Time Analysis by Probability Distribution Function

2.5.7 Statistical Fitting of Multi-hop Data Transmission Time

      2.6 Performance Simulation of Sensor Network

            2.6.1 ns Network Simulator

            2.6.2 Multi-hop data transmission simulation

            2.6.3 Multi-hop Data Transmission Time Distribution

Chapter 3    Cloud-side Network Communication Performance Analysis

3.1 Cloud-side Internet Communication in IoT

3.1.1 Importance of Internet Communication Performance Evaluation

3.1.2 Examples of Communication Delay in Internet Remote Monitoring

3.2 TCP Protocol for Internet Communication

                      3.2.1 Fundamentals of the TCP Protocol

                      3.2.2 Operation of the TCP protocol

3.2.3 TCP protocol connections

                      3.2.4 Windowing and flow control of the TCP protocol

                      3.2.5 Congestion algorithm of the TCP protocol

3.3 Theoretical Analysis Model of TCP Data Transmission

3.3.1 Stochastic Process Model of TCP/IP Communication Protocol

                      3.3.2 TCP/IP Triple ACK Packet Loss Detection Model

                      3.3.3 TCP/IP Timeout Packet Loss Detection Model

                      3.3.4 Model of TCP/IP Congestion Window Limitation

                      3.3.5 Throughput of TCP/IP Data Transmission Flow

3.4 Theoretical Analysis of TCP Data Transmission Performance

3.4.1 Theoretical Analysis of TCP Transmission Performance

3.4.2 Measured Verification of the Theoretical Analysis Formula for TCP Transmission Performance

Chapter 4    Edge Gateway Communication Performance Analysis

      4.1 Features and Constraints of Edge Gateways

            4.1.1 Queueing Model for Edge Gateways

            4.1.2 Assumed Edge-side Control Network

4.1.3 Necessity of Edge Gateway Transmission Performance Analysis

      4.2 Cloud-side Performance Analysis of Edge Gateways

            4.2.1 Gateway Receive Queue Model

            4.2.2 Transient Analysis of Gateway Receive Queue

4.2.3 Transient Characteristics Calculation of Gateway Receive Buffer

4.2.4 Verification of Gateway Receive Buffer Characteristics Calculation

      4.3 Edge-side Performance Analysis of Edge Gateways

            4.3.1 Edge-side Control Network Constraints

            4.3.2 Edge-side transmit buffer prioritization

4.3.4 Theoretical Analysis Model of Edge-side Transmission Performance

4.3.5 Delay Calculation of Edge-side Transmission Priority Buffer

Chapter 5    Applications of IoT Communication Performance Analysis

5.1 Edge Communication Simulation for Equipment Control Systems

            5.1.1 Building equipment monitoring and control system

            5.1.2 BACnet Equipment Control Edge Communication

            5.1.3 BACnet/IP Edge Communication Protocols

5.1.4 BACnet/IP Edge Communication Performance Simulation Model

5.1.5 BACnet/IP Edge Communication Performance Simulation Example

5.2 Cloud Communication Performance Simulation for Internet Remote Monitoring

            5.2.1 Internet Remote Power Monitoring and Control

            5.2.2 IEEE1888 Cloud Communication Protocol

5.2.3 IEEE1888 Power Remote Monitoring and Control Cloud Communication

5.2.4 IEEE1888 Cloud Communication Test Bench Experiment

5.2.5 IEEE1888 Cloud Communication Performance Simulation Execution Example

      5.3 Transient Performance Analysis of Smart Grid Cloud Server

            5.3.1 Smart Grid Power Demand Control

5.3.2 Communication Performance Requirements for FastADR

Web Service Communication

            5.3.3 Queueing Model of FastADR Cloud Server

5.3.4 Transient Communication Theory Analysis of FastADR Cloud Server

5.3.5 Transient Communication Performance Simulation of FastADR Cloud Server

Appendix

Appendix A  Complete Derivation of the M/M/1 Queueing Transient Solution

Appendix B   Example NS2 Simulation Model for TCP

Über Autor(innen)

Prof. Chuzo Ninagawa is Full Professor at the Faculty of Engineering, Gifu University, Japan. Dr. Ninagawa has been Executive Chief Engineer of Mitsubishi Heavy Industries, Ltd., which is one of the largest hi-tech manufacturers in Japan. His research interests span various topics of smart grid, with special focus on virtual power plant (VPP) with a large-scale aggregation of fast automated demand responses. He has published over 110 academic papers and three advanced research books.