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The major subjects of the book cover modeling, analysis and
efficient management of information in Internet of Everything (IoE)
applications and architectures. As the first book of its kind, it
addresses the major new technological developments in the field and
will reflect current research trends, as well as industry needs. It
comprises of a good balance between theoretical and practical
issues, covering case studies, experience and evaluation reports
and best practices in utilizing IoE applications. It also provides
technical/scientific information about various aspects of IoE
technologies, ranging from basic concepts to research grade
material, including future directions.
This book gathers recent research work on emerging Artificial
Intelligence (AI) methods for processing and storing data generated
by cloud-based Internet of Things (IoT) infrastructures. Major
topics covered include the analysis and development of AI-powered
mechanisms in future IoT applications and architectures. Further,
the book addresses new technological developments, current research
trends, and industry needs. Presenting case studies, experience and
evaluation reports, and best practices in utilizing AI applications
in IoT networks, it strikes a good balance between theoretical and
practical issues. It also provides technical/scientific information
on various aspects of AI technologies, ranging from basic concepts
to research grade material, including future directions. The book
is intended for researchers, practitioners, engineers and
scientists involved in the design and development of protocols and
AI applications for IoT-related devices. As the book covers a wide
range of mobile applications and scenarios where IoT technologies
can be applied, it also offers an essential introduction to the
field.
This book reports on the latest advances in the modeling, analysis
and efficient management of information in Internet of Things (IoT)
applications in the context of 5G access technologies. It presents
cutting-edge applications made possible by the implementation of
femtocell networks and millimeter wave communications solutions,
examining them from the perspective of the universally and
constantly connected IoT. Moreover, it describes novel
architectural approaches to the IoT and presents the new framework
possibilities offered by 5G mobile networks, including middleware
requirements, node-centrality and the location of extensive
functionalities at the edge. By providing researchers and
professionals with a timely snapshot of emerging mobile
communication systems, and highlighting the main pitfalls and
potential solutions, the book fills an important gap in the
literature and will foster the further developments of 5G hosting
IoT devices.
The incredible growth in the development and use of wireless
communication technologies has led to research in both academia and
industry on artificial intelligence (AI) methods that enable
intelligent technologies, smarter services and applications,
business processes and social interactions to satisfy future
requirements. AI mechanisms are being exploited in smart
intelligent network applications to provide insights from collected
data by identifying patterns and allowing operational predictions
with higher accuracy in smaller time periods. The future of
AI-powered wireless networking infrastructures depends on finding
effective solutions to a number of technical challenges that such
paradigms introduce, including better intelligent sensor
capabilities, smarter big data analytics, automated remote data
management, as well as open and secure processes. This book
presents innovative research in emerging artificial intelligence
methods for the processing, storing and analysing of large date
sets generated by wireless communication infrastructures. It
addresses major new technological developments, reflects on
industry needs, current research trends and future directions. The
authors focus on the development of AI-powered mechanisms for
future wireless networking applications and architectures which
will lead to more performant, resilient and valuable ecosystems and
automated services. The book is aimed at researchers, engineers and
scientists involved in the design and development of protocols and
AI applications for wireless communication devices, and wireless
networking technologies.
The major subjects of the book cover modeling, analysis and
efficient management of information in Internet of Everything (IoE)
applications and architectures. As the first book of its kind, it
addresses the major new technological developments in the field and
will reflect current research trends, as well as industry needs. It
comprises of a good balance between theoretical and practical
issues, covering case studies, experience and evaluation reports
and best practices in utilizing IoE applications. It also provides
technical/scientific information about various aspects of IoE
technologies, ranging from basic concepts to research grade
material, including future directions.
This book reports on the latest advances in the modeling, analysis
and efficient management of information in Internet of Things (IoT)
applications in the context of 5G access technologies. It presents
cutting-edge applications made possible by the implementation of
femtocell networks and millimeter wave communications solutions,
examining them from the perspective of the universally and
constantly connected IoT. Moreover, it describes novel
architectural approaches to the IoT and presents the new framework
possibilities offered by 5G mobile networks, including middleware
requirements, node-centrality and the location of extensive
functionalities at the edge. By providing researchers and
professionals with a timely snapshot of emerging mobile
communication systems, and highlighting the main pitfalls and
potential solutions, the book fills an important gap in the
literature and will foster the further developments of 5G hosting
IoT devices.
This book gathers recent research work on emerging Artificial
Intelligence (AI) methods for processing and storing data generated
by cloud-based Internet of Things (IoT) infrastructures. Major
topics covered include the analysis and development of AI-powered
mechanisms in future IoT applications and architectures. Further,
the book addresses new technological developments, current research
trends, and industry needs. Presenting case studies, experience and
evaluation reports, and best practices in utilizing AI applications
in IoT networks, it strikes a good balance between theoretical and
practical issues. It also provides technical/scientific information
on various aspects of AI technologies, ranging from basic concepts
to research grade material, including future directions. The book
is intended for researchers, practitioners, engineers and
scientists involved in the design and development of protocols and
AI applications for IoT-related devices. As the book covers a wide
range of mobile applications and scenarios where IoT technologies
can be applied, it also offers an essential introduction to the
field.
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