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Electronic device usage has increased considerably in the past two
decades. System configurations are continuously requiring upgrades;
existing systems often become obsolete in a matter of 2–3 years.
Green computing is the complete effective management of design,
manufacture, use, and disposal, involving as little environmental
impact as possible. This book intends to explore new and innovative
ways of conserving energy, effective e-waste management, and
renewable energy sources to harness and nurture a sustainable
eco-friendly environment. This book: • Highlights innovative
principles and practices using effective e-waste management and
disposal • Explores artificial intelligence based sustainable
models • Discovers alternative sources and mechanisms for
minimizing environmental hazards • Highlights successful case
studies in alternative sources of energy • Presents solid
illustrations, mathematical equations, as well as practical
in-the-field applications • Serves as a one-stop reference guide
to stakeholders in the domain of green computing, e-waste
management, renewable energy alternatives, green transformational
leadership including theory concepts, practice and case studies •
Explores cutting-edge technologies like internet of energy and
artificial intelligence, especially the role of machine learning
and deep learning in renewable energy and creating a sustainable
ecosystem • Explores futuristic trends in renewable energy This
book aims to address the increasing interest in reducing the
environmental impact of energy as well as its further development
and will act as a useful reference for engineers, architects, and
technicians interested in and working with energy systems;
scientists and engineers in developing countries; industries,
manufacturers, inventors, universities, researchers, and interested
consultants to explain the foundation to advanced concepts and
research trends in the domain of renewable energy and sustainable
computing. The content coverage of the book is organized in the
form of 11 clear and thorough chapters providing a comprehensive
view of the global renewable energy scenario, as well as how
science and technology can play a vital role in renewable energy.
It will involve the most up-to-date state-of-the-art related to
significant health pandemics such as the COVID-19 diagnosis and
tracking. It will be of utmost importance in the AI field and will
enrich this industry with new and innovative operational ideas.
Furthermore, this book will be of interest to researchers,
scientists, advanced students and academics.
The Internet of Things (IoT) has made revolutionary advances in the
utility grid as we know it. Among these advances, intelligent
medical services are gaining much interest. The use of Artificial
Intelligence (AI) is increasing day after day in fighting one of
the most significant viruses, COVID-19. The purpose of this book is
to present the detailed recent exploration of AI and IoT in the
COVID-19 pandemic and similar applications. The integrated AI and
IoT paradigm is widely used in most medical applications, as well
as in sectors that deal with transacting data every day. This book
can be used by computer science undergraduate and postgraduate
students; researchers and practitioners; and city administrators,
policy makers, and government regulators. It presents a smart and
up-to-date model for COVID-19 and similar applications. Novel
architectural and medical use cases in the smart city project are
the core aspects of this book. The wide variety of topics it
presents offers readers multiple perspectives on a variety of
disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer
science from Queen's University, Kingston, Ontario, Canada, in
2011. He is a full professor and research center director at Near
East University, Nicosia, Cyprus.
Internet of Things (IoT)-enabled spaces have made revolutionary
advances in the utility grid. Among these advances, intelligent and
energy-efficient services are gaining considerable interest. The
use of the smart grid is increasing day after day around us and is
not only used in saving energy but also in our daily life for
intelligent health, traffic, and even farming systems. The grid
enabled with IoT features is also expected to communicate with
cellular networks smoothly in the next-generation networks (6G and
beyond). This will open the door for other interesting research
areas. In this book, we consider the most significant and emergent
research topics in this domain, addressing major issues and
challenges in IoT-based solutions proposed for the smart grid. The
chapters provide insight on comprehensive topics in IoT-based smart
grids, combining technical aspects with the most up-to-date theory.
It investigates the grid under varying and potential emerging
paradigms such as edge/fog computing, in addition to big data
aspects considerations in the IoT era. With comprehensive surveys
and case studies, this book explores basic and high-level grid
aspects in the emerging smart city paradigm, which makes it
especially attractive to researchers, academics, and higher-level
students. This authored book can be used by computer science
undergraduate and postgraduate students, researchers and
practitioners, city administrators, policymakers, and government
regulators.
The Internet of Things (IoT) has made revolutionary advances in the
utility grid as we know it. Among these advances, intelligent
medical services are gaining much interest. The use of Artificial
Intelligence (AI) is increasing day after day in fighting one of
the most significant viruses, COVID-19. The purpose of this book is
to present the detailed recent exploration of AI and IoT in the
COVID-19 pandemic and similar applications. The integrated AI and
IoT paradigm is widely used in most medical applications, as well
as in sectors that deal with transacting data every day. This book
can be used by computer science undergraduate and postgraduate
students; researchers and practitioners; and city administrators,
policy makers, and government regulators. It presents a smart and
up-to-date model for COVID-19 and similar applications. Novel
architectural and medical use cases in the smart city project are
the core aspects of this book. The wide variety of topics it
presents offers readers multiple perspectives on a variety of
disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer
science from Queen's University, Kingston, Ontario, Canada, in
2011. He is a full professor and research center director at Near
East University, Nicosia, Cyprus.
The Internet of Things (IoT) is a system of inter-connected
devices, objects, and organisms. Among these devices, drones are
gaining lots of interest. Drones are expected to communicate with
cellular networks in the next generation networks (5G and beyond)
which opens the door for another exciting research area. This book
considers very important research areas in drone and cellular
networks. It addresses major issues and challenges in drone-based
solutions proposed for IoT-enabled cellular/computer networks,
routing/communication protocols, surveillances applications,
secured data management, and positioning approaches. It focuses
mainly on smart and context-aware implementations.
The Internet of Nano-Things (IoNT) is a system of nano-connected
devices, objects, or organisms that have unique identifiers to
transfer data over a computer or cellular network wirelessly to the
Cloud. Data delivery, caching, and energy consumption are among the
most significant topics in the IoNT nowadays. The book addresses
data routing and energy consumption challenges and proposes
nano-sensing platforms in critical Wireless Body Area Networks
(WBAN). This book covers both design and implementation aspects of
data delivery models and strategies in a smart application enabled
by the WBAN. It focuses on smart data delivery approaches and
energy savings aspects in a reliable IoNT systems.
The Cloud in IoT-enabled Spaces addresses major issues and
challenges in IoT-based solutions proposed for the Cloud. It paves
the way for IoT-enabled spaces in the next generation cloud
computing paradigm and opens the door for further innovative ideas.
Topics include Cloud-based optimization in the IoT era, scheduling
and routing, medium access, data caching, secure access,
uncertainty, home automation, machine learning in wearable devices,
energy monitoring, and plant phenotyping in farming. Smart spaces
are solutions where Internet of Things (IoT)-enabling technologies
have been employed towards further advances in the lifestyle. It
tightly integrates with the existing Cloud infrastructure to impact
several fields in academia and industry. The Cloud in IoT-enabled
Spaces provides an overview of the issues around small spaces and
proposes the most up-to-date alternatives and solutions. The
objective is to pave the way for IoT-enabled spaces in the
next-generation Cloud computing and open the door for further
innovative ideas.
1) Discusses technical details of the Machine Learning tools and
techniques in the different types of cancers 2) Machine learning
and data mining in healthcare is a very important topic and hence
there would be a demand for such a book 3) As compared to other
titles, the proposed book focuses on different types of cancer
disease and their prediction strategy using machine leaning and
data mining.
Security and smart spaces are among the most significant topics in
IoT nowadays. The implementation of secured smart spaces is at the
heart of this concept, and its development is a key issue in the
next generation IoT. This book addresses major security aspects and
challenges in realizing smart spaces and sensing platforms in
critical Cloud and IoT applications. The book focuses on both the
design and implementation aspects of security models and strategies
in smart that are enabled by wireless sensor networks and RFID
systems. It mainly examines seamless data access approaches and
encryption and decryption aspects in reliable IoT systems.
Smart Cities and intelligence are among the most significant topics
in IoT. Intelligence in communication and infrastructure
implementation is at the heart of this concept, and its development
is a key issue in smart cities. This book addresses the challenges
in realizing intelligence in smart cities and sensing platforms in
the era of cloud computing and IoT, varying from cost and energy
efficiency to availability and service quality. It focuses on both
the design and implementation aspects of artificial intelligence
approaches in smart cities and sensing applications that are
enabled and supported by IoT paradigms, and mainly on data delivery
approaches and their performability aspects.
Internet of Things (IoT)-enabled spaces have made revolutionary
advances in the utility grid. Among these advances, intelligent and
energy-efficient services are gaining considerable interest. The
use of the smart grid is increasing day after day around us and is
not only used in saving energy but also in our daily life for
intelligent health, traffic, and even farming systems. The grid
enabled with IoT features is also expected to communicate with
cellular networks smoothly in the next-generation networks (6G and
beyond). This will open the door for other interesting research
areas. In this book, we consider the most significant and emergent
research topics in this domain, addressing major issues and
challenges in IoT-based solutions proposed for the smart grid. The
chapters provide insight on comprehensive topics in IoT-based smart
grids, combining technical aspects with the most up-to-date theory.
It investigates the grid under varying and potential emerging
paradigms such as edge/fog computing, in addition to big data
aspects considerations in the IoT era. With comprehensive surveys
and case studies, this book explores basic and high-level grid
aspects in the emerging smart city paradigm, which makes it
especially attractive to researchers, academics, and higher-level
students. This authored book can be used by computer science
undergraduate and postgraduate students, researchers and
practitioners, city administrators, policymakers, and government
regulators.
This book presents the Cognitive Information Centric Sensor Network
(CICSN) framework for the IoT. This framework is built on top of
cognitive nodes, capable of knowledge representation, learning, and
reasoning, along with an information-centric approach for data
delivery. It also discusses the most appropriate deployment
strategy for these cognitive nodes under realistic assumptions that
cares about the Quality of Information (QoI). In addition, it uses
a QoI aware data delivery strategy, with Analytic Hierarchy Process
(AHP) as the reasoning technique to identify data delivery paths
that dynamically adapt to changing network conditions and user
requirements.
Wireless Sensor Networks overcome the difficulties of other
monitoring systems. However, they require further efficiencies for
Outdoor Environment Monitoring (OEM) applications due to their
harsh operational conditions, huge targeted areas, limited energy
budget, and required 3D setups. A fundamental issue in defeating
these practical challenges is deployment planning. The deployment
plan is a key factor of many intrinsic properties of OEM networks,
summarized in connectivity, lifetime, fault-tolerance, and
cost-effectiveness. This book investigates the problem of WSNs
deployments that address these properties in order to overcome the
unique challenges and circumstances in OEM applications.
This book gives an overview of best effort data and real-time
multipath routing protocols in WMSN. It provides results of recent
research in design issues affecting the development of strategic
multipath routing protocols that support multimedia data traffic in
WMSN from an IoT perspective, plus detailed analysis on the
appropriate traffic models.
This book provides a comprehensive overview for the use of
femtocells in smart Internet of Things (IoT) environments.
Femtocells will help mobile operators to provide a basis for the
next generation of services which are a combination of voice,
video, and data services to mobile users. This book discusses
modelling traffic and deployment strategies in femtocells and
provides a review for the use of femtocells and their applications
in IoT environments. Moreover, it highlights the efficient
real-time medium access, data delivery, caching and security
aspects in smart spaces. It concludes by presenting open research
issues associated with smart IoT-femtocell based applications.
This book provides a comprehensive overview for the use of
femtocells in smart Internet of Things (IoT) environments.
Femtocells will help mobile operators to provide a basis for the
next generation of services which are a combination of voice,
video, and data services to mobile users. This book discusses
modelling traffic and deployment strategies in femtocells and
provides a review for the use of femtocells and their applications
in IoT environments. Moreover, it highlights the efficient
real-time medium access, data delivery, caching and security
aspects in smart spaces. It concludes by presenting open research
issues associated with smart IoT-femtocell based applications.
This book is a proficient guide to understanding artificial
intelligence (IoT) and the Internet of Medical Things (IoMT) in
healthcare. The book provides a comprehensive study on the
applications of AI and IoT in various medical domains. The book
shows how the implementation of innovative solutions in healthcare
is beneficial, and IoT, together with AI, are strong drivers of the
digital transformation regardless of what field the technologies
are applied in. Therefore, this book provides a high level of
understanding with the emerging technologies on the Internet of
Things, wearable devices, and AI in IoMT, which offers the
potential to acquire and process a tremendous amount of data from
the physical world.
This book presents the Cognitive Information Centric Sensor Network
(CICSN) framework for the IoT. This framework is built on top of
cognitive nodes, capable of knowledge representation, learning, and
reasoning, along with an information-centric approach for data
delivery. It also discusses the most appropriate deployment
strategy for these cognitive nodes under realistic assumptions that
cares about the Quality of Information (QoI). In addition, it uses
a QoI aware data delivery strategy, with Analytic Hierarchy Process
(AHP) as the reasoning technique to identify data delivery paths
that dynamically adapt to changing network conditions and user
requirements.
This book combines comprehensive multi-angle discussions on fully
connected and automated vehicle highway implementation. It covers
the current progress of the works towards autonomous vehicle
highway development, which encompasses the discussion on the
technical, social, and policy as well as security aspects of
Connected and Autonomous Vehicles (CAV) topics. This, in return,
will be beneficial to a vast amount of readers who are interested
in the topics of CAV, Automated Highway and Smart City, among many
others. Topics include, but are not limited to, Autonomous Vehicle
in the Smart City, Automated Highway, Smart-Cities Transportation,
Mobility as a Service, Intelligent Transportation Systems, Data
Management of Connected and Autonomous Vehicle, Autonomous Trucks,
and Autonomous Freight Transportation. Brings together
contributions discussing the latest research in full automated
highway implementation; Discusses topics such as autonomous
vehicles, intelligent transportation systems, and smart highways;
Features contributions from researchers, academics, and
professionals from a broad perspective.
This book provides basic knowledge of advanced microcontrollers
associated with large systems and devices. The book determines the
feasibility of the advanced controllers from an Industry 4.0
perspective, which is associated with Integrated Internet of Things
(IIoT) when developing larger smart cities. Also, it describes
potential applications, key areas of Industry 4.0, and controlling
applications with microcontrollers. Chapters include IoT with
integrated control applications in smart city paradigm;
agriculture, public safety, women and child care & welfare;
healthcare, water management, government and administration;
environmental impact, energy with management of information
systems; and safety, education, transportation systems with
advanced controllers.
This book is dedicated to addressing the major challenges in
fighting COVID-19 using artificial intelligence (AI) and machine
learning (ML) - from cost and complexity to availability and
accuracy. The aim of this book is to focus on both the design and
implementation of AI-based approaches in proposed COVID-19
solutions that are enabled and supported by sensor networks, cloud
computing, and 5G and beyond. This book presents research that
contributes to the application of ML techniques to the problem of
computer communication-assisted diagnosis of COVID-19 and similar
diseases. The authors present the latest theoretical developments,
real-world applications, and future perspectives on this topic.
This book brings together a broad multidisciplinary community,
aiming to integrate ideas, theories, models, and techniques from
across different disciplines on intelligent solutions/systems, and
to inform how cognitive systems in Next Generation Networks (NGN)
should be designed, developed, and evaluated while exchanging and
processing critical health information. Targeted readers are from
varying disciplines who are interested in implementing the smart
planet/environments vision via wireless/wired enabling
technologies.
The book presents recent trends and solutions to help healthcare
sectors and medical staff protect themselves and others and limit
the spread of the COVID-19. The book also presents the problems and
challenges researchers and academics face in tackling this
monumental task. Topics include: Unmanned Aerial Vehicle (UAV) or
drones that can be used to detect infected people in different
areas; robots used in fighting the COVID-19 by protecting workers
and staff dealing with infected people; blockchain technology that
secures sensitive transactions in strict confidentiality. With
contributions from experts from around the world, this book aims to
help those creating and honing technology to help with this global
threat.
This book discusses several exciting research topics and
applications in the intelligent Heterogenous Networks (Het-Net) and
Internet of Things (IoT) era. We are resolving significant issues
towards realizing the future vision of the Artificial Intelligence
(AI) in IoT-enabled spaces. Such AI-powered IoT solutions will be
employed in satisfying critical conditions towards further advances
in our daily smart life. This book overviews the associated issues
and proposes the most up to date alternatives. The objective is to
pave the way for AI-powered IoT-enabled spaces in the next
generation Het-Net technologies and open the door for further
innovations. The book presents the latest advances and research
into heterogeneous networks in critical IoT applications. It
discusses the most important problems, challenges, and issues that
arise when designing real-time intelligent heterogeneous networks
for diverse scenarios.
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