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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 reports on the latest advances on the theories,
practices, standards and strategies that are related to the modern
technology paradigms, the Mobile Cloud computing (MCC) and Big
Data, as the pillars and their association with the emerging 5G
mobile networks. The book includes 15 rigorously refereed chapters
written by leading international researchers, providing the readers
with technical and scientific information about various aspects of
Big Data and Mobile Cloud Computing, from basic concepts to
advanced findings, reporting the state-of-the-art on Big Data
management. It demonstrates and discusses methods and practices to
improve multi-source Big Data manipulation techniques, as well as
the integration of resources availability through the 3As
(Anywhere, Anything, Anytime) paradigm, using the 5G access
technologies.
As more and more of our data is stored remotely, accessing that
data wherever and whenever it is needed is a critical concern. More
concerning is managing the databanks and storage space necessary to
enable cloud systems. Resource Management of Mobile Cloud Computing
Networks and Environments reports on the latest advances in the
development of computationally intensive and cloud-based
applications. Covering a wide range of problems, solutions, and
perspectives, this book is a scholarly resource for specialists and
end-users alike making use of the latest cloud technologies.
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.
This book reports on the latest advances in the design and
development of mobile computing systems and describes their
applications in the context of modeling, analysis and efficient
resource management. It explores challenges in mobile computing and
resource management paradigms, including research efforts and
approaches recently carried out in response to them and addresses
future open-ended issues. The book, which includes 26 rigorously
refereed chapters written by leading international researchers,
provides the readers with technical and scientific information
about various aspects of mobile computing, from basic concepts to
advanced findings and reports on the state-of-the-art in resource
management in such environments. Mainly intended as reference guide
for researchers and practitioners involved in the design,
development and applications of mobile computing systems and
seeking solutions to related issues, it also represents a useful
textbook for advanced undergraduate and graduate courses,
addressing special topic such as: mobile and ad-hoc wireless
networks; peer-to-peer systems for mobile computing; novel resource
management techniques in cognitive radio networks; and power
management in mobile computing systems.
This book reports on the latest advances on the theories,
practices, standards and strategies that are related to the modern
technology paradigms, the Mobile Cloud computing (MCC) and Big
Data, as the pillars and their association with the emerging 5G
mobile networks. The book includes 15 rigorously refereed chapters
written by leading international researchers, providing the readers
with technical and scientific information about various aspects of
Big Data and Mobile Cloud Computing, from basic concepts to
advanced findings, reporting the state-of-the-art on Big Data
management. It demonstrates and discusses methods and practices to
improve multi-source Big Data manipulation techniques, as well as
the integration of resources availability through the 3As
(Anywhere, Anything, Anytime) paradigm, using the 5G access
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 reports on the latest advances in mobile technologies for
collecting, storing and processing mobile big data in connection
with wireless communications. It presents novel approaches and
applications in which mobile big data is being applied from an
engineering standpoint and addresses future theoretical and
practical challenges related to the big data field from a mobility
perspective. Further, it provides an overview of new methodologies
designed to take mobile big data to the Cloud, enable the
processing of real-time streaming events on-the-move and enhance
the integration of resource availability through the 'Anywhere,
Anything, Anytime' paradigm. By providing both academia and
industry researchers and professionals with a timely snapshot of
emerging mobile big data-centric systems and highlighting related
pitfalls, as well as potential solutions, the book fills an
important gap in the literature and fosters the further development
in the area of mobile technologies for exploiting mobile big data.
This book reports the latest advances on the design and development
of mobile computing systems, describing their applications in the
context of modeling, analysis and efficient resource management. It
explores the challenges on mobile computing and resource management
paradigms, including research efforts and approaches recently
carried out in response to them to address future open-ended
issues. The book includes 26 rigorously refereed chapters written
by leading international researchers, providing the readers with
technical and scientific information about various aspects of
mobile computing, from basic concepts to advanced findings,
reporting the state-of-the-art on resource management in such
environments. It is mainly intended as a reference guide for
researchers and practitioners involved in the design, development
and applications of mobile computing systems, seeking solutions to
related issues. It also represents a useful textbook for advanced
undergraduate and graduate courses, addressing special topics such
as: mobile and ad-hoc wireless networks; peer-to-peer systems for
mobile computing; novel resource management techniques in cognitive
radio networks; and power management in mobile computing systems.
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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Enhanced Living Environments - Algorithms, Architectures, Platforms, and Systems (Paperback, 1st ed. 2019)
Ivan Ganchev, Nuno M Garcia, Ciprian Dobre, Constandinos X. Mavromoustakis, Rossitza Goleva
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R1,508
R1,214
Discovery Miles 12 140
Save R294 (19%)
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Out of stock
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This open access book was prepared as a Final Publication of the
COST Action IC1303 "Algorithms, Architectures and Platforms for
Enhanced Living Environments (AAPELE)". The concept of Enhanced
Living Environments (ELE) refers to the area of Ambient Assisted
Living (AAL) that is more related with Information and
Communication Technologies (ICT). Effective ELE solutions require
appropriate ICT algorithms, architectures, platforms, and systems,
having in view the advance of science and technology in this area
and the development of new and innovative solutions that can
provide improvements in the quality of life for people in their
homes and can reduce the financial burden on the budgets of the
healthcare providers. The aim of this book is to become a
state-of-the-art reference, discussing progress made, as well as
prompting future directions on theories, practices, standards, and
strategies related to the ELE area. The book contains 12 chapters
and can serve as a valuable reference for undergraduate students,
post-graduate students, educators, faculty members, researchers,
engineers, medical doctors, healthcare organizations, insurance
companies, and research strategists working in this area.
Ambient Assisted Living and Enhanced Living Environments:
Principles, Technologies and Control separates the theoretical
concepts concerning the design of such systems from their
real-world implementations. For each important topic, the book
bridges theory and practice, introducing the instruments needed by
professionals in their activities. To this aim, topics are
presented in a logical sequence, with the introduction of each
topic motivated by the need to respond to claims and requirements
from a wide range of AAL/ELE applications. The advantages and
limitations of each model or technology are presented through
concrete case studies for AAL/ELE systems. The book also presents
up-to-date technological solutions to the main aspects regarding
AAL/ELE systems and applications, a highly dynamic scientific
domain that has gained much interest in the world of IT in the last
decade. In addition, readers will find discussions on recent
AAL/ELE technologies that were designed to solve some of the
thorniest business problems that affect applications in areas such
as health and medical supply, smart city and smart housing, Big
Data and Internet of Things, and many more.
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