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.
Author(s): Chuzo Ninagawa
Series: Transactions on Computer Systems and Networks
Publisher: Springer
Year: 2022
Language: English
Pages: 217
City: Singapore
Preface
Contents
1 IoT Communication Performance Analysis
1.1 Overview of Internet of Things (IoT)
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 Protocols
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
References
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 Networks
2.3.1 Control Network Transient Communication Performance Simulation
2.3.2 Modeling of Transient Burst Communication Loads
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 Networks
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 Multi-hop Data Transmission Time Analysis by Probability Distribution Function
2.5.6 Statistical Fitting of Multi-hop Data Transmission Time
2.6 Performance Simulation of Sensor Networks
2.6.1 ns-1 Network Simulator
2.6.2 Multi-hop Data Transmission Simulation
2.6.3 Multi-hop Data Transmission Time Distribution
References
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 Window and Flow Control in 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
References
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 Queueing Model
4.2.2 Transient Analysis of Gateway Receive Queue
4.2.3 Calculation of Transient Characteristics of Gateway Receive Buffer
4.2.4 Verification of Gateway Receive Buffer Characteristics Calculation
4.2.5 Effects of the Gateway Transient Analysis Model
4.3 Edge-Side Performance Analysis of Edge Gateways
4.3.1 Constraints of the Edge-Side Control Network
4.3.2 Prioritization of Edge-Side Transmit Buffer
4.3.3 Theoretical Analysis Model of Edge-Side Transmission Performance
4.3.4 Delay Calculation of Edge-Side Transmit Priority Buffer
References
5 Applications of IoT Communication Performance Analysis
5.1 Edge Communication Analysis of 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 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 Analysis of Internet Remote Monitoring
5.2.1 Internet Remote Power Monitoring and Control
5.2.2 What is IEEE1888 Communication Protocol?
5.2.3 IEEE1888 Remote Power Monitoring and Control Web Service
5.2.4 IEEE1888 Communication Performance Test Bench Experiment
5.2.5 IEEE1888 Communication Performance Simulation
5.3 Performance Analysis of Cloud Web Services for Smart Grid
5.3.1 Smart Grid Electricity 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 Theoretical Analysis of Transient Communication of FastADR Cloud Server
5.3.5 Simulation of Transient Communication Performance of FastADR Cloud Server
References
6 Appendix A: Complete Derivation of the M/M/1 Queueing Transient Solution
6.1 What is the M/M/1 Queueing System?
6.2 State Equations
6.3 Bessel Functions
6.4 Derivation of the Transient Solution for the Case of Service Factor μ = 1
6.5 Derivation of the Transient Solution
References
7 Appendix B: Example NS Simulation Script Code for TCP
