Managing IoT and Mobile Technologies with Innovation, Trust, and Sustainable Computing

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Editors
Contributors
Chapter 1: Communication between Human and Machines in the Era of Industry 4.0
1.1 Industry 4.0 (I4): Essence in the Nutshell
1.1.1 Evolution of Industry 4.0
1.1.2 Cyber–Physical System (CPS): Basic Units of Industry 4.0
1.2 IoT Linking Human and Machines
1.2.1 IoT in Industry: Industrial Internet of Things (IIoT)
1.2.2 Consumer Internet of Things (CIoT)
1.3 Different Perspectives of IoT – Human, Operation, Managerial
1.4 Use of Mobile Technologies in IOT
1.4.1 5G Technology
1.5 Future Prospects of Industry 4.0
1.6 Summary
References
Chapter 2: Privacy Concerns and Trust Issues
2.1 Trust Models and Architectures
2.2 Types of IoT Authentications
2.3 Multi-Agents and Intelligent Environments
2.4 Hybrid Cloud and Edge computing
2.4.1 Overview of Cloud Computing
2.4.1.1 Public Cloud
2.4.1.2 Private Cloud
2.4.1.3 Hybrid Cloud
2.4.2 Edge Computing
2.5 Legal and Regulations of IoT Privacy and Trust Issues
2.6 Future Research Guidelines
2.7 Summary
References
Chapter 3: The Mobile Technologies in the ‘Informative’ Society
3.1 The Communication Perspective
3.1.1 The Concept of Mobile Telecommunication
3.1.2 Evolution of Mobile Communication Systems
3.1.3 Introduction of 4G Technology
3.1.3.1 Key Features of 4G
3.1.3.1.1 Faster Download Speed
3.1.3.1.2 Lower Latency
3.1.3.1.3 Crystal Clear Voice Calls
3.1.3.2 Application of 4G
3.1.3.2.1 Smart Home
3.1.3.2.2 Intelligent Manufacturing
3.1.3.2.3 The Internet of Things
3.1.3.2.4 Entertainments
3.1.3.3 Challenges in 4G
3.1.3.3.1 Challenges in Quality of Service
3.1.3.3.2 Challenges in Security
3.1.3.3.3 Challenges in Complex Resource Allocation
3.1.4 Introduction of 5G Technology
3.1.4.1 Key Features of 5G
3.1.4.1.1 Supportive Access to Massive Devices
3.1.4.1.2 High Transmission Capacity and High Data Capacity
3.1.4.1.3 Low-Latency Communication
3.1.4.1.4 Reduction of Network Resource Consumption
3.1.4.2 Application of 5G
3.1.4.2.1 Industrial Internet of Things
3.1.4.2.2 Driverless Technology
3.1.4.2.3 Intelligent Logistics
3.1.4.2.4 Telemedicine
3.1.4.3 Challenges in 5G
3.1.4.3.1 Challenges in Technical Support
3.1.4.3.2 Challenges in Security
3.1.4.3.3 Challenges in Construction Cost
3.1.4.3.4 Challenges in Operational Management
3.2 The Internet of Things Perspective
3.2.1 What Is the Internet of Things
3.2.1.1 Background of the Internet of Things
3.2.2 Industrial Value of Internet of Things
3.2.2.1 IoT Applications Scenarios
3.2.2.1.1 Agriculture Sector
3.2.2.1.2 Service Sector
3.2.2.1.3 Public Utilities
3.2.3 The Analysis of IoT Applications in Logistics Industry
3.2.3.1 Industry Sector
3.2.3.2 The Impact of IoT in Logistics Industry
3.2.3.2.1 Production Phase
3.2.3.2.2 Transportation Phase
3.2.3.2.3 Warehousing Phase
3.2.3.2.4 Distribution Phase
3.2.3.2.5 Sales Phase
3.2.4 Problems in the Application of the Internet of Things in Logistics Industry
3.2.4.1 Technical Aspects
3.2.4.2 Standardization
3.2.4.3 Security
3.2.4.4 Cost
3.2.5 Analysis of Logistics Industry Development Strategies Based on the Internet of Things
3.2.5.1 Accelerate the Strategic Planning of the Internet of Things Industry and Make It Coordinate with the Logistics Industry Planning
3.2.5.2 Speed Up Standardization Process
3.2.5.3 Security Strengthen Method
3.2.5.4 Costs Reducing Methods
References
Chapter 4: Mobile Technologies
4.1 The Business Management Perspective
4.1.1 Mobile Technology Application in Business Management
4.1.2 Characteristics of Mobile Business Management Applications
4.1.3 Mobile Enterprise Resource Planning (M-ERP)
4.1.4 Mobile Customer Relationship Management (M-CRM)
4.1.5 Mobile Supply-Chain Management (M-SCM)
4.2 The Information Sharing at Social Level
4.2.1 An Overview of Mobile Social Network Service
4.2.2 Development of Mobile SNS
4.2.2.1 Mobile SNS and e-Commerce
4.2.2.2 Mobile SNS and Education
4.2.2.3 Other Applications
4.3 The Security Perspective
4.3.1 Security Risk of Mobile Technology
4.3.2 Application-Level Threats
4.3.3 Web-Level Threats
4.3.3.1 Physical-Level Threats
4.3.3.2 Privacy Risk of Mobile Technology
4.3.4 Safeguard Measures
4.3.4.1 Software-Based Encryption
4.3.4.2 Hardware-Based Encryption
4.4 Conclusion
References
Chapter 5: Cloud-Based SMART Manufacturing
5.1 Introduction
5.1.1 Key Enablers in Supporting the Industry IoT
5.1.1.1 ERP – Enterprise Resources Planning
5.1.1.1.1 Limited Capacity
5.1.1.1.2 Lack of Accessibility
5.1.1.1.3 Security Issue
5.2 Cloud Computing
5.2.1 Basic Features of Industrial Cloud
5.2.2 The Role of Industrial Cloud
5.2.3 The Scope of Industrial Cloud Applications
5.2.4 Three Modes of Industrial Cloud
5.3 Why Should Enterprises ‘Go to the Cloud’?
5.3.1 Flexibility
5.3.2 Scalability
5.3.3 Liquidity
5.3.4 Cost
5.3.5 Security
5.4 What Is Cloud Computing?
5.5 Massive Data Challenges
5.6 Cloud Computing Interactive Mode
5.7 Cloud Service Configuration Mode
References
Chapter 6: Cloud-Based SMART Manufacturing – An Implementation Case in Printed Circuit Board Assembly (PCBA) Process Optimization
6.1 The Background
6.2 The Adoption of Intelligent Manufacturing Process Improvement System (IMPIS)
6.2.1 Data Collection Module (DCM)
6.2.2 Failure Analysis Module (FAM)
6.2.3 Machine Setting Optimization Module (MSOM)
6.3 Implementation of the IMPIS
6.3.1 Phase One: Structured Data Acquisition by DCM
6.3.2 Phase Two: Pressure, Speed, and Blade Angle (PSA) Model Formulation by FAM
6.3.3 Phase Three: Optimal SP Machine’s Setting by MSOM
6.4 Comparison before and after the Implementation of IMPIS
6.5 Exploration of the Dominant Factor in the SP Process
6.6 Contributions and Managerial Implications
6.7 Conclusions
References
Index
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