Convergence of Blockchain and Internet of Things in Healthcare (Paperback). Questo articolo non è disponibile.Convergence of Blockchain and Internet of Things in Healthcare (Paperback)

The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers.

Key Features:

• Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology
• Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain
• Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology
• Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology
• Tailored for people who want to start in healthcare-related technology with blockchain and IoT

This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

Arun Kumar Rana completed his BTech degree at Kurukshetra University, and his MTech and PhD at Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include image processing, wireless sensor networks, the Internet of Things, AI, and machine learning and embedded systems. Dr Rana is currently an assistant professor at the Galgotias College of Engineering and Technology, Greater Noida, India, with more than 16 years of experience. Dr Rana is a collaborative researcher and has published more than 110 SCI/ESCI/Scopus/others papers in national and international journals and conference papers. He has also published 10 books with national and international publishers including Taylor & Francis. He has also attended 15 workshops and 12 faculty development programs (FDP). He has guided six MTech candidates. He serves as an editor or reviewer for several international journals and conferences and served as keynote speaker. He is also a member of the Asia Society of Research and SIRG (Scientific Innovation Research Group), Egypt. He has published/granted 10 national and international patents. He has conducted many workshops on IoT and its applications in engineering, wireless networks, and simulators, and teaches the latest techniques related to wireless and IoT technology. He is listed in the world scientist rankings for 2021 and 2022. He was guest editor for the special issue "Routing and Protocols for Energy Efficient Communication," MDPI, SCI, IF-3.004 (Q2).

Vishnu Sharma is a professor and dean of the Department of Computer Science and Engineering at ITS College of Engineering, Greater Noida, India. He earned his BTech, MTech, and PhD from Madhav Institute of Technology & Science (M.I.T.S.), Gwalior, India, in Computer Science and Engineering, and is affiliated with Rajiv Gandhi Technical University, Bhopal. He has published 100-plus papers on MANETs, AI, machine learning, IoT, cryptography and network security, computer networks, and mobile computing in international conferences and international journals/SCI/Scopus. He has published three books on mobile computing, cyber security and law, and advanced mobile computing, and has been the editor of ten IEEE conference proceedings. He has also organized many IEEE international conferences for the IEEE Uttar Pradesh section. He has 26 years of teaching experience at various reputed engineering institutes and universities, including Jaypee University, Galgotias University, KIET, and Galgotias College.

Ajay Rana has more than 22 years of teaching experience in academia and industry with roles including lecturer, professor, director, dean, and senior vice president (RBEF). His areas of interest include machine learning, Internet of Things (IoT), augmented reality, software engineering, and soft computing. He has 60-plus patents in the fields of IoT, networks, and sensors. He has more than 271 research papers in reputed journals published by ACM, Springer, Elsevier, Taylor & Francis, and others, and from international and national conferences; co-authored 8 books, and co-edited 36 conference proceedings. Rana is chairman of AUN Research Labs, an executive committee member of IEEE Uttar Pradesh Section, a senior member of IEEE, and a life member of the Computer Society of India and ISTE. He is also a member of the editorial boards and review committees of several journals. He has visited many top universities and colleges worldwide, including in Europe, United Arab Emirates, UK, and Asia.

Maksud Alam earned his BTech degree in 2007 from Uttar Pradesh Technical University, Lucknow, India; and his MTech degree in 2012. He earned his PhD from Jamia Millia Islamia, New Delhi, India. He is a recipient of the Visveswaraya PhD Fellowship from the Ministry of Electronics and IT, Government of India, and is currently an assistant professor at Galgotias College of Engineering and Technology, Greater Noida, India. Prior to this, he was a lecturer at the GLA Institute of Technology and Management, Mathura; and Babu Banarasi Das Group of Institutions, Bulandshahr, in 2007 and 2008, respectively. From 2009 to 2016, he served as an assistant professor at the Bharat Institute of Technology, Meerut. He has published more than 12 research papers in reputed journals and conferences such as IET Microwaves, Antennas & Propagation, International Journal of RF and Microwave Computer-Aided Engineering (Wiley), Microwave and Optical Technology Letters (Wiley), Frequenz, Progress in Electromagnetic Research, and IEEE conferences. His research interests include the Internet of Things and antennas, design and development of electromagnetic band-gap structures, metamaterial antennas, circularly polarized microstrip antennas, reconfigurable antennas, ultrawideband antennas, and defected ground structures.

Suman Lata Tripathi is a professor at Lovely Professional University with more than 21 years of experience in academics and research. She completed her PhD in the area of microelectronics and VLSI design from MNNIT, Allahabad. She earned her MTech in electronics engineering from UP Technical University, Lucknow, and BTech in electrical engineering from Purvanchal University, Jaunpur. She was also a remote post-doc researcher at Nottingham Trent University, London, in 2022. She has published more than 104 research papers in Springer, Elsevier, IEEE, Wiley, and IOP refereed science journals, conference proceedings, and e-books. She has also published 13 Indian patents and four copyrights. She has guided four PhD scholars and four are in the submission stage. She has organized several workshops, summer internships, and expert lectures for students. She has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer for international/national journals and conferences (IEEE, Springer, Wiley). She received the Research Excellence Award in 2019 and the Research Appreciation Award in 2020 and 2021 at Lovely Professional University, India. She was a recipient of the IGEN Women for Green Technology’s Women’s Achievers Award on International Women’s Day, 8 March 2023. She received the best paper award at IEEE ICICS 2018. She has also received project funding from SERB DST under the scheme TARE in the area of microelectronic devices. She has edited and authored more than 19 books in the areas of electronics and electrical engineering. She has done editing work with top publishers like Elsevier, CRC/Taylor & Francis, Wiley-IEEE, SP Wiley, Nova Science, and Apple Academic Press. She is also book series editor for the series Smart Engineering Systems (CRC Press); Engineering System Design for Sustainable Developments, and Decentralized Systems and Next-Generation Internet (Wiley-Scrivener); and conference series editor for Conference Proceedings Series on Intelligent Systems for Engineering Designs (CRC Press/Taylor & Francis). She serves as academic editor of the Journal of Electrical and Computer Engineering (Scopus/WoS, Q2), International Journal of Reconfigurable Computing (Scopus, Q3), Active and Passive Electronic Components (Scopus, Q4; Hindawi), and special issue guest editor for Materials: Advances in Nanomaterials and Nanoscale Semiconductor Applications (MDPI; SCI IF = 3.74, Q2). She is a senior member of IEEE, a fellow of IETE, and a life member of ISC, and is continuously involved in different professional activities along with academic work. Her areas of expertise include microelectronic device modeling and characterization, low-power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, embedded system design, reconfigurable architecture with FPGAs, and biomedical applications.