Role of IoT and Blockchain: Techniques and Applications provides an informative collection of chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies in the Internet of Things and blockchain technology.
This volume provides informative chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies on the Internet of Things and blockchain technology. It presents case studies and solutions that can be applied in the current business scenario, resolving challenges and providing solutions by integrating IoT with blockchain technology. The chapters discuss how the Internet of Things (IoT) represents a revolution of the Internet that can connect nearly all environment devices over the Internet to share data to create novel services and applications for improving quality of life. Although the centralized IoT system provides countless benefits, it raises several challenges. The volume presents IoT techniques and methodologies, blockchain techniques and methodologies, and case studies and applications for data mining algorithms, heart rate monitoring, climate prediction, disease prediction, security issues, automotive supply chains, voting prediction, forecasting particulate matter pollution, customer relationship management, and more.
Part 1: IoT Techniques and Methodologies
1. Data Mining Algorithms for
IoT: A Succinct Study
2. Information Technology Evolutions in the
Manufacturing Sectors: Industry 4.0, IoT, and Blockchain
3. The Future of
Smart Communication: IoT and Augmented Reality: A Review
4. Heart Rate
Monitoring Using IoT and AI for Aged Person: A Survey
5. BADS-MANET: Black
Hole Attack Detection System in Mobile Networks Using Data Routing
Information (DRI) and Cross-Check Mechanism
6. A Study of Computation
Offloading Techniques Used by Mobile Edge Computing in an IoT Environment
7.
AquaTalk: An Intensification of System Influence in Aquaculture
8. A
Comprehensive Survey on Mitigation of Challenging Issues in Green IoT
9.
Shortest Route Analysis for High-Level Slotting Using Peer-to-Peer
10.
Internet of Things (IoT) Based on User Command Analysis and Regulator Systems
11. IoT System with Heterogeneous Servers: Steady-State Solution and
Performance Evaluation
12. IoT-Based Unified Approach to Predict Particulate
Matter Pollution in Thailand
13. An Internet of Things-Based Novel Approach
to Rescue Children from Borewells Part 2: Blockchain Techniques and
Methodologies
14. Blockchain: A New Way to Revolutionize CRM Systems
15.
Blockchain-Enabled Decentralized Traceability in the Automotive Supply Chain
16. Understanding the Concept of Blockchain and Its Security
17. Sentiment
Analysis for Prediction of Bitcoin Response
18. Blockchain Makes Certain
Truthfulness of Supervised Predictive Clinical Trial Data Analysis
19.
Blockchain Can Strengthen the Trustworthiness of Meta-Analysis
20. Query
Response Time in Blockchain Using Big Query Optimization
21. Transformative
Blockchain Knacks for Bitcoin Cryptocurrency and Its Impacts
22.
Blockchain-Based Smart Contract for Transportation of Blood Bank System
23.
Blockchain Traversal: Its Working Aspects and a Brief Discussion on Its
Security
24. Improved Framework for E-Healthcare Based on Blockchain and Fog
Computing
25. An IoT and Blockchain-Based System for Acute Security Checks
and Analysis
26. Limitations of Facial Emotion Recognition Using Deep
Learning for Intelligent Human-Machine Interfaces Part 3: Application and
Case Studies
27. State of the Art of Machine Learning Techniques: A Case
Study on Voting Prediction
28. Climate Prediction by Using a Machine Learning
Approach: A Case Study
29. Data Transmission in Multi-Hop Cluster Using
Blockchain in Clustered Wireless Sensor Network (CWSN)
30. An Open-Source
Web-Based OWL Ontology Editing and Browsing Tool: Swoop
31. A Real-World
Application Based on Blockchain
32. Modified Design of Conformal Circular
Patch for 15GHz Application
33. Cloud-Based Data Analytics: Applications,
Security Issues, and Challenges
34. ROBIARM: Vision-Based Object Detection
System
35. Security Analysis and Fraud Prevention in Cloud Computing
36.
Prediction of Diseases Through Data Mining
37. Naïve Bayes Full-Spectral
Image Analytics Using K-Nearest Based Parzan Window
38. Mental Health
Disorders and Privacy-Preserving Data Mining: A Survey
39. Industry 4.0 with
Big Data Analysis: A Review
Sanjay K. Kuanar, PhD, is Professor and Head of the Computer Science and Engineering Department of GIET University, Odisha, India. He has (co)authored several publications in prestigious journals in his field and has acted as a reviewer. He has also participated at many international conferences. His research interests include computer vision, pattern recognition, machine learning, and multimedia computing. His primary research is focused on exploring different machine learning techniques for solving challenging problems in summarizing and segmenting videos.
Brojo Kishore Mishra, PhD, is Professor in the Computer Science and Engineering Department at GIET University, Odisha, India. He has published more than 30 research papers in national and international conference proceedings, over 30 research papers in peer-reviewed journals, over 25 book chapters, and several authored and edited books. His research interests include data mining and big data analysis, machine learning, and security.
Sheng-Lung Peng, PhD, is Professor in the Department of Computer Science and Information Engineering at National Dong Hwa University, Taiwan. Dr. Peng has edited several special journal issues and is also a reviewer for many journals. He has published more than 100 papers in international journals and conferences. Dr. Peng is now the Dean of the Library and Information Services Office of NDHU, an Honorary Professor of the Beijing Information Science and Technology University of China, and a visiting Professor at the Ningxia Institute of Science and Technology of China, among other roles.
Daniel D. Dasig, Jr., PhD, is Associate Professor at De La Salle University Dasmarinas, Philippines, and a professorial lecturer at the University of Makati, where he also served as Research Coordinator in the College of Computer Science. He served as Chair of the Computer Engineering Department of Jose Rizal University, Philippines. He also works as part of the change management and software development teams of TELUS, a Canadian telecommunication company. Dr. Dasig has authored and co-authored many academic and technical papers and books and has held executive roles and active membership in more than 40 professional, research, and policymaking organizations.
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