Healthcare Paradigms in the Internet of Things Ecosystem

Healthcare Paradigms in the Internet of Things Ecosystem
Author: Valentina Emilia Balas,Souvik Pal
Publsiher: Academic Press
Total Pages: 410
Release: 2020-11-07
ISBN 10: 0128199202
ISBN 13: 9780128199206
Language: EN, FR, DE, ES & NL

Healthcare Paradigms in the Internet of Things Ecosystem Book Review:

Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. Presents the complete functional framework workflow in IoT-enabled healthcare technologies Explains concepts of location-aware protocols and decisive mobility in IoT healthcare Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things

Principles of Internet of Things IoT Ecosystem Insight Paradigm

Principles of Internet of Things  IoT  Ecosystem  Insight Paradigm
Author: Sheng-Lung Peng,Souvik Pal,Lianfen Huang
Publsiher: Springer Nature
Total Pages: 626
Release: 2019-11-13
ISBN 10: 3030335968
ISBN 13: 9783030335960
Language: EN, FR, DE, ES & NL

Principles of Internet of Things IoT Ecosystem Insight Paradigm Book Review:

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.

The Fusion of Internet of Things Artificial Intelligence and Cloud Computing in Health Care

The Fusion of Internet of Things  Artificial Intelligence  and Cloud Computing in Health Care
Author: Patrick Siarry
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 3030752208
ISBN 13: 9783030752200
Language: EN, FR, DE, ES & NL

The Fusion of Internet of Things Artificial Intelligence and Cloud Computing in Health Care Book Review:

IoT

IoT
Author: Souvik Pal,Vicente García Díaz,Dac-Nhuong Le
Publsiher: CRC Press
Total Pages: 381
Release: 2020-06-03
ISBN 10: 100005831X
ISBN 13: 9781000058314
Language: EN, FR, DE, ES & NL

IoT Book Review:

IOT: Security and Privacy Paradigm covers the evolution of security and privacy issues in the Internet of Things (IoT). It focuses on bringing all security and privacy related technologies into one source, so that students, researchers, and practitioners can refer to this book for easy understanding of IoT security and privacy issues. This edited book uses Security Engineering and Privacy-by-Design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding the security issues in IoT-enabled technologies and how it can be applied in various aspects. It walks readers through engaging with security challenges and builds a safe infrastructure for IoT devices. The book helps readers gain an understand of security architecture through IoT and describes the state of the art of IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID, WSNs, in IoT. This book aims to provide the concepts of related technologies and novel findings of the researchers through its chapter organization. The primary audience includes specialists, researchers, graduate students, designers, experts and engineers who are focused on research and security related issues. Souvik Pal, PhD, has worked as Assistant Professor in Nalanda Institute of Technology, Bhubaneswar, and JIS College of Engineering, Kolkata (NAAC "A" Accredited College). He is the organizing Chair and Plenary Speaker of RICE Conference in Vietnam; and organizing co-convener of ICICIT, Tunisia. He has served in many conferences as chair, keynote speaker, and he also chaired international conference sessions and presented session talks internationally. His research area includes Cloud Computing, Big Data, Wireless Sensor Network (WSN), Internet of Things, and Data Analytics. Vicente García-Díaz, PhD, is an Associate Professor in the Department of Computer Science at the University of Oviedo (Languages and Computer Systems area). He is also the editor of several special issues in prestigious journals such as Scientific Programming and International Journal of Interactive Multimedia and Artificial Intelligence. His research interests include eLearning, machine learning and the use of domain specific languages in different areas. Dac-Nhuong Le, PhD, is Deputy-Head of Faculty of Information Technology, and Vice-Director of Information Technology Apply and Foreign Language Training Center, Haiphong University, Vietnam. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedical. Presently, he is serving on the editorial board of several international journals and has authored nine computer science books published by Springer, Wiley, CRC Press, Lambert Publication, and Scholar Press.

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics
Author: Pradeep N,Sandeep Kautish,Sheng-Lung Peng
Publsiher: Academic Press
Total Pages: 372
Release: 2021-06-25
ISBN 10: 0128220449
ISBN 13: 9780128220443
Language: EN, FR, DE, ES & NL

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics Book Review:

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Blockchain Technology

Blockchain Technology
Author: E. Golden Julie,J. Jesu Vedha Nayahi,Noor Zaman Jhanjhi
Publsiher: CRC Press
Total Pages: 240
Release: 2020-11-09
ISBN 10: 1000216756
ISBN 13: 9781000216752
Language: EN, FR, DE, ES & NL

Blockchain Technology Book Review:

This book presents a detailed exploration of adaption and implementation, as well as a 360-degree view spectrum of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book offers a collection of protocol standards, issues, security improvements, applicability, features, and types of cryptocurrency in processing and through 5G technology. The book covers the evolution of blockchain from fundamental theories to present forms. It offers diversified business applications with usable case studies and provides successful implementations in cloud/edge computing, smart city, and IoT. The book emphasizes the advances and cutting-edge technologies along with the different tools and platforms. The primary audience for this book includes industry experts, researchers, graduates and under graduates, practitioners, and business managers who are engaged in blockchain and IoT-related technologies.

Edge Computing and Computational Intelligence Paradigms for the IoT

Edge Computing and Computational Intelligence Paradigms for the IoT
Author: Nagarajan, G.,Minu, R.I.
Publsiher: IGI Global
Total Pages: 347
Release: 2019-06-14
ISBN 10: 1522585575
ISBN 13: 9781522585572
Language: EN, FR, DE, ES & NL

Edge Computing and Computational Intelligence Paradigms for the IoT Book Review:

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Internet of Things Use Cases for the Healthcare Industry

Internet of Things Use Cases for the Healthcare Industry
Author: Pethuru Raj,Jyotir Moy Chatterjee,Abhishek Kumar,B. Balamurugan
Publsiher: Springer Nature
Total Pages: 296
Release: 2020-03-31
ISBN 10: 3030375269
ISBN 13: 9783030375263
Language: EN, FR, DE, ES & NL

Internet of Things Use Cases for the Healthcare Industry Book Review:

This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models.

Cognitive Internet of Medical Things for Smart Healthcare

Cognitive Internet of Medical Things for Smart Healthcare
Author: Aboul Ella Hassanien
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 3030558339
ISBN 13: 9783030558338
Language: EN, FR, DE, ES & NL

Cognitive Internet of Medical Things for Smart Healthcare Book Review:

Intelligent Computing in Engineering

Intelligent Computing in Engineering
Author: Vijender Kumar Solanki,Manh Kha Hoang,Zhonghyu (Joan) Lu,Prasant Kumar Pattnaik
Publsiher: Springer Nature
Total Pages: 1204
Release: 2020-04-09
ISBN 10: 9811527806
ISBN 13: 9789811527807
Language: EN, FR, DE, ES & NL

Intelligent Computing in Engineering Book Review:

This book comprises select papers from the international conference on Research in Intelligent and Computing in Engineering (RICE 2019) held at Hanoi University of Industry, Hanoi, Vietnam. The volume focuses on current research on various computing models such as centralized, distributed, cluster, grid and cloud. The contents cover recent advances in wireless sensor networks, mobile ad hoc networks, internet of things, machine learning, grid and cloud computing, and their various applications. The book will help researchers as well as professionals to gain insight into the rapidly evolving fields of internet computing and data mining.

Machine Learning Approaches for Convergence of IoT and Blockchain

Machine Learning Approaches for Convergence of IoT and Blockchain
Author: Krishna Kant Singh,Akansha Singh,Sanjay K. Sharma
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2021-08-10
ISBN 10: 1119761743
ISBN 13: 9781119761747
Language: EN, FR, DE, ES & NL

Machine Learning Approaches for Convergence of IoT and Blockchain Book Review:

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere. This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.

Data Protection and Privacy in Healthcare

Data Protection and Privacy in Healthcare
Author: Ahmed Elngar,Ambika Pawar,Prathamesh Churi
Publsiher: CRC Press
Total Pages: 268
Release: 2021-03-10
ISBN 10: 1000349357
ISBN 13: 9781000349351
Language: EN, FR, DE, ES & NL

Data Protection and Privacy in Healthcare Book Review:

The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.

IoT Technologies for HealthCare

IoT Technologies for HealthCare
Author: Nuno M. Garcia
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 3030420299
ISBN 13: 9783030420291
Language: EN, FR, DE, ES & NL

IoT Technologies for HealthCare Book Review:

IoT in Healthcare and Ambient Assisted Living

IoT in Healthcare and Ambient Assisted Living
Author: Gonçalo Marques
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 9811598975
ISBN 13: 9789811598975
Language: EN, FR, DE, ES & NL

IoT in Healthcare and Ambient Assisted Living Book Review:

Green Computing and Predictive Analytics for Healthcare

Green Computing and Predictive Analytics for Healthcare
Author: Sourav Banerjee,Chinmay Chakraborty,Kousik Dasgupta
Publsiher: CRC Press
Total Pages: 190
Release: 2020-12-10
ISBN 10: 1000223949
ISBN 13: 9781000223941
Language: EN, FR, DE, ES & NL

Green Computing and Predictive Analytics for Healthcare Book Review:

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master’s course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.

Fog Computing for Healthcare 4 0 Environments

Fog Computing for Healthcare 4 0 Environments
Author: Sudeep Tanwar
Publsiher: Springer Nature
Total Pages: 622
Release: 2020-08-02
ISBN 10: 3030461971
ISBN 13: 9783030461973
Language: EN, FR, DE, ES & NL

Fog Computing for Healthcare 4 0 Environments Book Review:

This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4.0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy.

Internet of Things IoT

Internet of Things  IoT
Author: Dr Kamlesh Lakhwani,Dr Hemant Kumar Gianey,Joseph Kofi Wireko,Kamal Kant Hiran
Publsiher: BPB Publications
Total Pages: 272
Release: 2020-03-03
ISBN 10: 9389423368
ISBN 13: 9789389423365
Language: EN, FR, DE, ES & NL

Internet of Things IoT Book Review:

A Systematic Approach to Learn the Principles, Paradigms and Applications of Internet of Things DESCRIPTION In this book, Principles, Paradigm frameworks, and Applications of IoT (Internet of Things) in the modern era are presented. It also provides a sound understanding of the IoT concepts, architecture, and applications, and improves the awareness of readers about IoT technologies and application areas. A key objective of this book is to provide a systematic source of reference for all aspects of IoT. This book comprises nine chapters with close co-operation and contributions from four different authors, spanning across four countries and providing a global, broad perspective on major topics on the Internet of Things. KEY FEATURES - IoT applications in various sectors like Education, Smart City, Politics, Healthcare, Agriculture, etc. - Adoption of the IoT technology and strategies for various sectors - To present case studies and innovative applications of the IoT - To analyze and present the state of the art of the IoT and related technologies and methodologies - To propose new models, practical solutions and technological advances of the IoT WHAT WILL YOU LEARN - Become aware of the IoT components, their connectivity to form the IoT altogether, and future possibilities with IoT. - Understand how the various components of cloud computing work together to form the basic architecture of cloud computing. - Examine the relationship between the various layers in the IoT architecture. - Understand the programming framework for the Internet of Things (IoT) and various programming paradigms. WHO THIS BOOK IS FOR This book is intended for professionals, researchers, instructors, and designers of a smart system, who will benefit from reading this book. TABLE OF CONTENTS 1. IoT Introduction 2. IoT Architectures and Protocols 3. Programming Framework for IoT 4. Virtualization and IoT 5. Security, Privacy and Challenges in IoT 6. IoT Applications Areas 7. IoT and Cloud 8. Smart City Using IoT integration 9. Case Studies 10. Important Key Terms 11. References

Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering
Author: Valentina E. Balas,Le Hoang Son,Sudan Jha,Manju Khari,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 379
Release: 2019-06-14
ISBN 10: 0128173572
ISBN 13: 9780128173572
Language: EN, FR, DE, ES & NL

Internet of Things in Biomedical Engineering Book Review:

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

IoT and ICT for Healthcare Applications

IoT and ICT for Healthcare Applications
Author: Nishu Gupta,Sara Paiva
Publsiher: Springer Nature
Total Pages: 298
Release: 2020-08-12
ISBN 10: 3030429342
ISBN 13: 9783030429348
Language: EN, FR, DE, ES & NL

IoT and ICT for Healthcare Applications Book Review:

This book provides an insight on the importance that Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can have in taking care of people's health. Key features of this book present the recent and emerging developments in various specializations in curing health problems and finding their solutions by incorporating IoT and ICT. This book presents useful IoT and ICT applications and architectures that cater to their improved healthcare requirements. Topics include in-home healthcare services based on the Internet-of-Things; RFID technology for IoT based personal healthcare; Real-time reporting and monitoring; Interfacing devices to IoT; Smart medical services; Embedded gateway configuration (EGC); Health monitoring infrastructure; and more. Features a number of practical solutions and applications of IoT and ICT on healthcare; Includes application domains such as communication technology and electronic materials and devices; Applies to researchers, academics, students, and practitioners around the world.

The Internet of Things for Smart Urban Ecosystems

The Internet of Things for Smart Urban Ecosystems
Author: Franco Cicirelli,Antonio Guerrieri,Carlo Mastroianni,Giandomenico Spezzano,Andrea Vinci
Publsiher: Springer
Total Pages: 383
Release: 2018-08-10
ISBN 10: 3319965506
ISBN 13: 9783319965505
Language: EN, FR, DE, ES & NL

The Internet of Things for Smart Urban Ecosystems Book Review:

The main objective of this book is to provide a multidisciplinary overview of methodological approaches, architectures, platforms, and algorithms for the realization of an Internet of Things (IoT)-based Smart Urban Ecosystem (SUE). Moreover, the book details a set of real-world applications and case studies related to specific smart infrastructures and smart cities, including structural health monitoring, smart urban drainage networks, smart grids, power efficiency, healthcare, city security, and emergency management. A Smart Urban Ecosystem (SUE) is a people-centric system of systems that involves smart city environments, applications, and infrastructures. SUEs require the close integration of cyber and physical components for monitoring, understanding and controlling the urban environment. In this context, the Internet of Things (IoT) offers a valuable enabling technology, as it bridges the gap between physical things and software components, and empowers cooperation between distributed, pervasive, and heterogeneous entities.