Dew Computing: The Sustainable IoT Perspectives (Internet of Things)

Foreword
Preface
Contents
About the Editors
DewMetrics: Demystification of the Dew Computing in Sustainable Internet of Things
1 Introduction
1.1 Motivations
1.2 Chapter Contributions
1.3 Chapter Organization
2 Related Works
3 Dew Computing: The Infrastructure Outline
4 Crisis Environments and Significance of Data Flow for Response
4.1 Utilization of Dew Computing in Crisis Situations
4.2 Dew-Cloud Architecture for Crisis Management
4.3 Internet of Drone Things
4.4 Dew Robotics Applications
5 Reducing the Dependency on Internetwork During Consumer Decision-Making
5.1 Intervention of Dew Computing
6 Dew in Computational Finance Theories
6.1 Relational Agent’s Decision Model
6.2 Technical Agents
6.3 Noise Trader/Agent
6.4 Reinforcement Learning
7 Dew Computing Paradigms for Quantum Machine Learning and Quantum Cryptography
7.1 Quantum Machine Learning in Dew Computing
7.2 Quantum Cryptography in Dew Computing
7.3 Quantum Key Distribution (QKD)
7.4 Application of QKD in Dew Computing
8 Dew Computing in Sustainable Internet of Music Things
8.1 System Outline: Dew-Induced Internet of Music Things
8.2 Connection Strategies for Scheming an Efficient Dew Computing Framework for IoMT
9 Topics of Interest: Application Domains and Future Research Challenges of Dew Computing-Assisted Sustainable Internet of Things
9.1 The Dew-Assisted IoT in Computational Musicology
9.2 Dew Computing in Sustainable Internet of Music Things
9.3 Sustainable and Humanized Internet of Music Things
9.4 Dew-Osmosis: Convergence of Dew and Osmotic Computing in Human-Centric IoT
9.5 Communication and Computational Intelligence in Dew-Assisted IoT
9.6 Cloud-Dew-Edge-Fog (CDEF) and Sustainable Internet of Musical Things: The Convergence
9.7 Dew-Assisted Big Data Analytics and Industrial Automation
9.8 Influence of Dew Computing on Human–Computer Interaction
9.9 Integration of Dew and Affective Computing
10 Conclusions
References
Cache Computing for Dew Devices at the Edge Networks
1 Introduction
1.1 Motivation
1.2 Chapter Contributions
1.3 Chapter Organization
2 Dew Devices
2.1 Real-Time Image Analysis at Edge
2.2 Wearable E-healthcare
2.3 Social Networking Using Rich Cache Enabled Network Devices
2.4 Edge Content Caching for IoV in Smart City
2.5 Vehicular Ad-Hoc Network
2.6 High Definition (HD) Games
3 Integration of Dew Devices
4 Cache Architecture
4.1 Taxonomy of Cache Memory
5 Cache Memory Design for Network Processors
6 Real-Time Systems’ Cache Memory
7 Cache Computing
7.1 Data Caching
7.2 Application/Output Caching
7.3 Distributed Caching
7.4 A Recent Advancement in Cache Memory
7.5 Execution Cache Memory Model
7.6 Cache Simulator
7.7 Machine Learning in Cache Computing
8 Conclusions
References
DewMonitor: Dew Computing Monitoring System for Sustainable IoT
1 Introduction
2 Dew Computing—From the Perspective of IoT
3 I-Dew Integration
4 DewMonitor Architecture
5 Dew Computing Device Monitoring and Analysis
5.1 Network Analysis
5.2 Memory Analysis
6 Requirement of Dew Layer Monitoring
7 Dew Monitoring to Ensure Sustainable Computing
7.1 Economical Sustainability Analysis of DewMonitor
7.2 Social Sustainability of I-Dew
7.3 Environmental Sustainability of I-Dew
8 Limitation of DewMonitor
9 Conclusions
References
Security and Privacy Aspects of Authorized and Secure Communications in Dew-Assisted IoT Systems
1 Introduction
2 Architecture
2.1 Cloud Computing
2.2 Fog Computing
2.3 Edge Computing
2.4 Dew Computing
3 Security Attributes of Authorization and Secure Communication
3.1 DDoS (Distributed Denial of Service) Attack
3.2 MITM (Men in the Middle Attack)
3.3 Malicious Dew Node Attack
3.4 Fault Tolerance
3.5 Insider Attack
3.6 Stolen Smart Card Attack
3.7 Online Password Guessing Attack
3.8 Offline Password Guessing Attack
3.9 Replay Attack
3.10 Known Session Key Attack
3.11 Forward Secrecy
3.12 Known Session Specific Temporary Information Attack
3.13 Impersonation Attack
4 Literature Survey
5 Security Challenges
5.1 Web Application and API Security
5.2 Access Control and Identity Management
5.3 Data or Storage Security
5.4 Trust Management
5.5 Privacy Issues
5.6 Authentication
5.7 Virtualization
5.8 Blockchain Technology
6 Conclusions
References
Implementation of Dew-Inspired Matrix-Mesh Communication Protocol
1 Introduction
2 Motivation
3 Matrix-Mesh Architecture
4 The Dew Server and UI
5 Design Considerations and Inspirations
6 Technological Consideration and Choices
7 Changes in Matrix-Architecture to Implement Matrix-Mesh
8 Bluetooth
9 Workflows of the Integrated System
10 Future Development
11 Conclusions
References
Blockchain-Based on Dew Computing for Unreliable Network
1 Introduction
1.1 Dew Computing
2 Literature Study
2.1 Blockchain Algorithms
2.2 Blockchain Categories and Classification
2.3 Restriction of the Blockchain
2.4 How Dew Computing Differs from Cloud, Edge, and Fog Computing
3 Dew Computing and Blockchain Integration for Unreliable Network
4 Decentralized Medical Hardware Ownership a Dewblock Approach
5 Dew Computing Based Distributed Healthcare System
5.1 A System for Continuously Monitoring Health that Uses Dew Computing
6 Conclusions
References
DewIDS: Dew Computing for Intrusion Detection System in Edge of Things
1 Introduction
1.1 Motivation and Contributions
2 Related Works
2.1 Distributed Intrusion Detection System (DIDS)
2.2 Cloud-Based Intrusion Detection System
2.3 DBN-Based IDS
3 Dew Computing-Based Intrusion Detection System (DewIDS)
3.1 Dew Computing
3.2 DewIDS
3.3 IDS Versus DEW IDS
4 Sustainability of DewIDS
4.1 Social Sustainability
4.2 Environmental Sustainability
4.3 Economic Sustainability
5 Future Research Challenges
5.1 Dew Computing-Based Machine Learning Approach for Trust Provisioning in EoT
5.2 Dew Computing for Intrusion Detection System in Heterogeneous Edge of Things
5.3 Dew Game Theory for Intrusion Detection System in Edge of Things
5.4 Statistical Fingerprint-Based IDS Using Dew Computing
5.5 Federated Learning-Based Privacy Preserving Dew Computing in Virtual Tourism
5.6 Deep Learning-Based IDS Using Dew Computing in Agriculture 4.0
5.7 Artificial Neural Network-Based Fraud Detection in Internet Banking Using Dew Computing
6 Conclusions
References
Machine Learning-Based Sustainable Dew Computing: Classical to Quantum
1 Introduction
2 Existing Literature—Dew Learning
2.1 DewMusic
2.2 MedGini
2.3 DEWSec
2.4 DEWTask
2.5 DoME
2.6 DaaS
2.7 DEWCare
2.8 XDEW
2.9 Dew Quantum Learning
3 QML Based Dew Health Monitoring System: A Case Study
4 Potential Challenges
5 Conclusions
References
Dew Computing-Based Sustainable Internet of Vehicular Things
1 Introduction
2 Literature Survey
3 Vehicular Cache Based on Dew Computing
4 Secure IoV in Cloud, Fog, and Dew Computing
5 Analyzing Vehicular Data Using Dew Computing
6 Artificial Intelligence for Multimedia IoV Communication
7 Machine Learning in the IoV Network
8 Cloud Based Dew Computing Applications for Vehicular Localization Systems
9 Sustainable Procurement Planning Under Dew Computing
10 Some Novel Areas in Intelligent Vehicular Network
11 Some Proposed Future Application Areas
12 Conclusion
References
Dew-Computing in Future Telerobotic Applications: An Exploration
1 Till the Dew Drops: Let’s Understand Telerobotics
1.1 What is Telerobotics?
1.2 Business Traction Behind Telerobotics-Based Solutions
1.3 Some Existing Telerobotic Solutions
1.4 Understanding the Concept of Multi-party Telerobotics Session
2 The Prevalent Technologies in Telerobotics
2.1 Challenges in Telerobotics
2.2 Popular Technologies in Use
2.3 A Practical Edge-Cloud Based Architecture for Telerobotic Control
3 A Dew-Based Architecture for Improved Telerobotics Experience
3.1 Improving End-Application Experience
3.2 Improving Performance of WebRTC-Based Infrastructure
4 Conclusions
References
Role of Dew Computing in Smart Healthcare Applications
1 Introduction
2 Performance Issues in Centralised Cloud Computing
3 Dew Computing as a Solution
3.1 Advantages of Dew Computing
3.2 Architecture of Dew device
4 State-of-the-Art Dew Architectures for Healthcare
4.1 Dew-Based Offline Computing Architecture for Healthcare IoT ch11medhi2022dew
4.2 Dew Computing-Inspired Health-Meteorological Factor Analysis for Early Prediction of Bronchial Asthma ch11manocha2021dew
4.3 MedGini: Gini Index-Based Sustainable Health Monitoring System Using Dew Computing ch11karmakar2022medgini
4.4 CONFRONT: Cloud-Fog-Dew-Based Monitoring Framework for COVID-19 Management ch11poonia2021confront
4.5 AI Cardiologist at the Edge: A Use Case of a Dew Computing Heart Monitoring Solution ch11gusev2022ai
4.6 Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT ch11singh2022dew
4.7 Dew Computing-Assisted Cognitive Intelligence-Inspired Smart Environment for Diarrhea Prediction ch11afaq2022dew
4.8 Real-Time Event-Driven Sensor Data Analytics at the Edge-Internet of Things for Smart Personal Healthcare ch11ray2020real
4.9 Synthesis
5 Conclusions
References
Dew as a Service for Intermittently Connected Internet of Drone Things
1 Introduction
2 Related Research
3 Background Study
3.1 Cloud Computing
3.2 Mobile Edge Computing
3.3 Fog Computing
3.4 Dew Computing
4 Layered Architecture of Dew as a Service
4.1 Dew as a Service Methodology
4.2 The Deployment Ecosystem for DewaaS for IoDT
5 Classification of the DewaaS
5.1 On-Demand Service
5.2 Priority Aware Service
5.3 Location-Aware Service
5.4 Energy-Aware Service
5.5 Coverage-Aware Service
6 FANET-Based IoDT Ecosystem
7 Intelligent Processing for Dew
8 Conclusions
References
Dew Aeroponics: Dew-Enabled Smart Aeroponics System in Agriculture 4.0
1 Introduction
1.1 Motivations
1.2 Chapter Contributions
1.3 Chapter Organization
2 Related Works
2.1 Aeroponics
2.2 Dew
2.3 IoT
3 Advantage of Aeroponics Over Hydroponics and Traditional Cultivation
4 Manually Growth Observation of Aeroponic Systems Having the Pump
5 Cloud-Dew Architecture in Aeroponics
6 Advantages of Intelligent Hybrid Li-Fi and 5G NB-IoT Enabled Smart Aeroponics System in Agriculture 4.0
6.1 Pumpless Green Aeroponic System with Voice User Interface
6.2 Security with Federated Learning in Dew Aeroponics
6.3 Comparison of Download Speed of Wi-Fi, 4G, 5G, 6G, and Li-Fi Network
6.4 Comparison of Laser-Based and LED-Based Li-Fi Network
6.5 Hybrid Li-Fi Implementation in Pumpless Aeroponics with 5G NB-IoT Enabled IoDT
7 Future Research Challenges
7.1 Challenge 1: Trustworthy and Decentralized AI for Security
7.2 Challenge 2: Intelligent Li-Fi
7.3 Challenge 3: Reconfigurable Network and Services
8 Conclusions
References
Internet of Things and Dew Computing-Based System for Smart Agriculture
1 Introduction
2 Machine Learning in Agriculture
3 Deep Learning in Agriculture
4 IoT in Agriculture
4.1 Soil Sampling and Mapping
4.2 Irrigation
4.3 Fertiliser
4.4 Crop Disease and Pest Management
4.5 Yield Supervision, Crop Forecasting, and Harvest
5 Cloud-Fog-Edge-Dew Computing in Agriculture
5.1 Cloud Computing
5.2 Fog Computing
5.3 Edge Computing
5.4 Dew Computing
6 Dew Computing in Agriculture
7 Conclusions
References
Dew Computing Enabled Consumer Electronics for Sustainable Internet of Agricultural Things
1 Introduction
1.1 WSN
1.2 Sensors
2 Cache Memory
3 Flash Memory
4 Dew Computing
5 Applications of Dew Computing
5.1 Dew-Based Precision Farming
5.2 Dew Powered Agricultural Drones
5.3 Smart Dew Greenhouse Management
5.4 Livestock Management Using Dew Computing
5.5 Dew-Enabled Plant Healthcare Monitoring
5.6 Dew Controlled Forest-Fire Monitoring
5.7 Dew Server-Based Monitoring of Climate Condition
5.8 Dew-Based Crop Protection Against Animal and Insect Intrusion
5.9 Dew-Facilitated Home and Office Management with Indoor and Rooftop Garden
5.10 Dew-Based Disaster Management to Protect Crop
5.11 Dew-Enabled Logistic for Food Supply Chain Management
5.12 Dew-Based Autonomous Driving in the Agricultural Sector
5.13 Dew-Based Agricultural Waste Management
6 Benefits of IoT in Agriculture
7 Existing Dew-Enabled IoT Devices
8 Challenges and Future Research Directions
9 Conclusions
References