Chapter
The Internet of Things (IoT) and Its Important Roles in Reshaping the Environment
Environmental Impacts of IoT
Technological Environment
Socio-Economic Environment
Industrial Applications Based on IoT
Integration of Data from Multiple Sources
Device Diversity and Interoperability
Flexibility and Evolution of Applications
Scale, Data Volume, and Performance
Cloud Centric Internet of Things
Open Challenges and Future Directions
Secure Reprogrammable Networks and Privacy
Reduce Pollution and Increase Sustainability
Understanding the Environmental Impacts on Health and Safety
Helping Ways of IoT in Environment
Global-Scaled Internet of Things
Practical System in Collaboration with IoT
Future Perspective of IoT
Integrated Future IoT Systems
The Internet of Things: Technological, Physical, Business and Socio-Economic Environments
Technological Environment in IoT/IoE
Distributed Systems Technology
Computing, Identification and Communication in IoT Technologies
Sensor Data Acquisition in Management
Wireless I/O Connectivity Modules and Gateway Solution
Industrial Applications Based on IoT
Interoperability and Diversity
Vision, Architectural Elements, and Future Directions
Ubiquitous Computing in the Next Decade
Radio Frequency Identification (RFID)
Wireless Sensor Networks (WSN)
Data Storage and Analytics
Technological Impact Areas and Applications
Application of IOT Environment
Technological Environment
Socio-Economic Environment
Architectural Layers and Application Domains of IoT
Internet of Things Will Change Industry
Plant Alarm and Event Resolution
The Benefits and Impact of IoT
The Internet of Things and 5G Wireless Networks
Access to Broadband in Dense Areas
Broadband Access Everywhere
Technical and Economic Analysis
Critical Issues Facing the Internet of Things (IoT)
How Devices and Connectivity Are Organized
Transmission and Communication Is Established between Devices
The Process of Monitoring and Tracking Devices
The Measurement Metric for Performance Analysis and Optimization
Challenges: Security, Privacy, and Integrity of Data
What Needed for IoT to Thrive?
Data Storage, Management, Integrity, Security, and Maintenance
Business Models for Organizations and Consumers
Security and Privacy Issues on the Internet of Things
Why Is IoT Security Important?
Vault 7: FBI’s Armament Unleashed
Secure Analytics Visibility and Control
Application and Services in IoT
Industrial Internet of Things (IIoT)
1. Connected Enterprise Control
2. Asset Performance Management
1. Applications and Data Analytics
5. Integrated Circuits (IC)
1. Industrial IoT vs Consumer IoT
1. Flight and Aviation Industries
2. Defense and Security Industries
5. Transportation Industries
IoT: A New Trends in Enterprise
IoT: Smart Cities and Smarter Citizens
IoT Personalized Systems and Healthcare
Governing IoT Systems and Marketing
Personalized IoT Systems and the Future of Cities
IoT: Architecture and Virtualization
The Internet of Things: A More Connected World
Integration of IoT and AI
The Three Layer Infrastructure
The Five Layer Infrastructure
The Current Status of AI Development
Narrow Artificial Intelligence
General Artificial Intelligence
The Internet of Things: Machine Learning, Artificial Intelligence, and Automation
Abilities of the Internet of Things
The Internet of Things and Network Devices
Machine Learning and Artificial Intelligence
Machine Learning Evolution
The Importance of Machine Learning
Gas and Oil Production and Sale
Methods of Machine Learning
Supervised Machine Learning
When Inductive Learning Can Be Applied
Machine Learning in Relation to Data Mining and Deep Learning
Traditional Programming and Machine Learning
Key Elements of Machine Learning
Machine Learning Processes in Practice
The Essence of Machine Learning
Machine Learning Workflow
Common Applications of Artificial Intelligence
What Is Artificial Intelligence All About?
Machine Learning in Relation to Artificial Intelligence
Major Considerations in Artificial Intelligence
Challenges Faced In Artificial Intelligence Development
Recommendations and Some Guiding Principles
Ethical Considerations in the Design and Deployment of Artificial Intelligence
Interpretability of the Systems
Economic and Social Impacts
Perception of Artificial Intelligence
The Future of Artificial Intelligence
Current Artificial Intelligence Funding
Application of Artificial Intelligence
Most Applied Artificial Intelligence Applications and Solutions
The Internet of Things and IT: A Platform Transformation
IoT PLATFORMS: Scope and Function
Cloud and the Edge (Fog) Connectivity
A Review of Cloud Computing System
Models of Cloud Computing and How They Work
Software as a Service (SaaS)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS)
How to Choose the Right Cloud Model
Required Levels of Security
Acceptable Technicalities and Downtimes
Bandwidth Options and Budgeting
Cloud Computing: A Valid Approach
Based on Web Technologies
Administration of a Cloud Computing Network
Reliability and Security of Cloud Computing
Benefits of Fog Computing
Resource Allocation for the Internet of Everything
Challenges of Fog Computing
Program Models and Network Architecture
Controlling the Data Stages
End-Users, APIs, and Applications: Keeping Connections in Line with Business Value
Distributed and P2P Discovery Services
Centralized Architecture for Resource Discovery
CoAP Based Service Discovery
Search Engine for Resource Discovery
Embedded Web Services via CoAP
Cloud Platform for the Support of Communication Models and Heterogeneous Devices
Applications in the Industry
Security: Everything Everywhere, and for Everyone
Discussion and Conclusion
IoT: Platforms, Connectivity, Applications and Services
( Computer Science, Technology and Applications )
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