Overview

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.

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9781771889148

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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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