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This new volume covers the fusion of IoT and wireless communication
technology for real-life applications. It discusses the current
developments, trends, and latest usage of technology in wireless
sensor networks (WSNs) and IoT, which offer improvement in many
areas, including in enabling smart homes, in agricultural systems,
for security systems, for university monitoring systems, and more.
The volume also provides a theoretical analysis and discussion of
the factors influencing smart sensing, exploring the
state-of-the-art IoT elements that are designed to be analogous to
WSNs. It looks at advancements in IoT systems along with a two-way
usage with wireless sensor networks that span the gap between the
physical and virtual worlds, leading to a hyperconnected society
where devices are not only used to exchange data but also are smart
devices with more capabilities. The chapters reveal how these
technologies are used in smart homes, for intelligent sensor-based
cognitive radio networks, for different techniques for data fusion,
for the synthesis and fabrication of nanosensor devices for
monitoring agricultural nutrient levels, and more. Furthermore, the
fake user problems in WSNs are also investigated with a note on the
current trends and the newer trends to come in near future.
Includes several emerging required standardization and
interoperability initiatives Offers various AI and Machine Learning
algorithms Discusses how health technology can face the challenge
of improving the quality of life regardless of social and financial
consideration, gender, age, and residence Presents real-time
applications and case studies in the field of engineering, computer
science, IoT, Smart Cities with modern tools and technologies used
in healthcare Focuses on many examples of successful IoT projects
from various industries
Distributed and peer-to-peer (P2P) applications are increasing
daily, and cyberattacks are constantly adopting new mechanisms to
threaten the security and privacy of users in these Internet of
Things (IoT) environments. Blockchain, a decentralized
cryptographic-based technology, is a promising element for IoT
security in manufacturing, finance, healthcare, supply chain,
identity management, e-governance, defence, education, banking, and
trading. Blockchain has the potential to secure IoT through
repetition, changeless capacity, and encryption. Blockchain for
Information Security and Privacy provides essential knowledge of
blockchain usage in the mainstream areas of security, trust, and
privacy in decentralized domains. This book is a source of
technical information regarding blockchain-oriented software and
applications. It provides tools to researchers and developers in
both computing and software engineering to develop solutions and
automated systems that can promote security, trust, and privacy in
cyberspace. FEATURES Applying blockchain-based secured data
management in confidential cyberdefense applications Securing
online voting systems using blockchain Safeguarding electronic
healthcare record (EHR) management using blockchain Impacting
security and privacy in digital identity management Using
blockchain-based security and privacy for smart contracts By
providing an overview of blockchain technology application domains
in IoT (e.g., vehicle web, power web, cloud internet, and edge
computing), this book features side-by-side comparisons of modern
methods toward secure and privacy-preserving blockchain technology.
It also examines safety objectives, efficiency, limitations,
computational complexity, and communication overhead of various
applications using blockchain. This book also addresses the
combination of blockchain and industrial IoT. It explores novel
various-levels of information sharing systems.
Innovative Engineering with AI Applications Innovative Engineering
with AI Applications demonstrates how we can innovate in different
engineering domains as well as how to make most business problems
simpler by applying AI to them. Engineering advancements combined
with artificial intelligence (AI), have resulted in a
hyper-connected society in which smart devices are not only used to
exchange data but also have increased capabilities. These devices
are becoming more context-aware and smarter by the day. This timely
book shows how organizations, who want to innovate and adapt, can
enter new markets using expertise in various emerging technologies
(e.g. data, AI, system architecture, blockchain), and can build
technology-based business models, a culture of innovation, and
high-performing networks. The book specifies an approach that
anyone can use to better architect, design, and more effectively
build things that are technically novel, useful, and valuable, and
to do so efficiently, on-time, and repeatable. Audience The book is
essential to AI product developers, business leaders in all
industries and organizational domains. Researchers, academicians,
and students in the AI field will also benefit from reading this
book.
This book presents recent technologies that explore artificial
intelligence (AI) and its scope in Internet of Things (IoT) enabled
areas for productivity and the betterment of society. The book aims
at targeting audiences of several disciplines to share research,
suggest solutions, and future trends in the field of AI using IoT.
Rather than looking at the field from only a theoretical or only a
practical perspective, this book unifies both aspects to give a
holistic understanding of the AI paradigm for IoT. The book focuses
on timely topics related to the field of AI enabled IoT
applications at large. The book consists of four major parts:
fundamentals, theoretical discussion, critical applications, and
the learning algorithms. These contents shall include the basics,
types, tools, and techniques of AI. Finally, applications of AI
enabled IoT in several areas are presented including health,
security, climate change, agricultural engineering, bioinformatics,
biomedicine, smart applications, natural language processing,
social and economic implications of AI enabled IoT, as well as
robotics, sustainability, risk management, seismic data processing,
smart grid management, text analysis, security, privacy, and
ethics.
This book presents recent technologies that explore artificial
intelligence (AI) and its scope in Internet of Things (IoT) enabled
areas for productivity and the betterment of society. The book aims
at targeting audiences of several disciplines to share research,
suggest solutions, and future trends in the field of AI using IoT.
Rather than looking at the field from only a theoretical or only a
practical perspective, this book unifies both aspects to give a
holistic understanding of the AI paradigm for IoT. The book focuses
on timely topics related to the field of AI enabled IoT
applications at large. The book consists of four major parts:
fundamentals, theoretical discussion, critical applications, and
the learning algorithms. These contents shall include the basics,
types, tools, and techniques of AI. Finally, applications of AI
enabled IoT in several areas are presented including health,
security, climate change, agricultural engineering, bioinformatics,
biomedicine, smart applications, natural language processing,
social and economic implications of AI enabled IoT, as well as
robotics, sustainability, risk management, seismic data processing,
smart grid management, text analysis, security, privacy, and
ethics.
Blockchain technology has the potential to utterly transform supply
chains, streamline processes, and improve the whole of security.
Manufacturers across the globe face challenges with forecasting
demand, controlling inventory, and accelerating digital
transformation to cater to the challenges of changing market
dynamics and evolving customer expectations. Hence, blockchain
should be seen as an investment in future-readiness and
customer-centricity, not as an experimental technology. Utilizing
Blockchain Technologies in Manufacturing and Logistics Management
explores the strengths of blockchain adaptation in manufacturing
industries and logistics management, which include product
traceability, supply chain transparency, compliance monitoring, and
auditability, and also examines the current open issues and future
research trends of blockchain. Leveraging blockchain technology
into a manufacturing enterprise can enhance its security and reduce
the rates of systematic failures. Covering topics such as fraud
detection, Industry 4.0, and security threats, this book is a ready
premier reference for graduate and post-graduate students,
academicians, researchers, industrialists, consultants, and
entrepreneurs, as well as micro, small, and medium enterprises.
Blockchain has potential to revolutionize how manufacturers design,
engineer, make and scale their products. Blockchain is gradually
proving to be an effective "middleware" solution for enabling
seamless interoperability within complex supply chains. Due to its
technological nature, blockchain enables secure, transparent and
fast data exchanges as well as allowing for the creation of
immutable records databases The main advantage of Blockchain in
Manufacturing Industries is product traceability, supply chain
transparency, compliance monitoring, and auditability. Moreover,
leveraging blockchain technology into a manufacturing enterprise
can enhance its security and reduce the rates of systematic
failures. So, blockchain is now used in various sectors of the
manufacturing industry, such as automotive, aerospace, defense,
pharmaceutical, consumer electronics, textile, food and beverages,
and more. Hence, Blockchain should be seen as an investment in
future-readiness and customer-centricity, not as an experimental
technology - because, the evidence is overwhelming. This book will
explore the strengths of Blockchain adaptation in Manufacturing
Industries and Logistics Management, cover different use cases of
Blockchain Technology for Manufacturing Industries and Logistics
Management, and will discuss the role, impact and challenges of
adopting Blockchain in Manufacturing industries and Logistics
Management. The chapters will also provide the current open issues
and future research trends of Blockchain, especially for
Manufacturing Industries and Logistics, and will encapsulate
quantitative and qualitative research for a wide spectrum of
readers of the book.
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