This book provides an overview of the Internet of Things (IoT) -
covering new ideas, concepts, research and innovation to enable the
development of IoT technologies in a global context. The work is
intended as a standalone book in a series covering the activities
of the Internet of Things European Research Cluster (IERC) -
including research, technological innovation, validation, and
deployment. The book chapters build on the developments and
innovative ideas put forward by the IERC, the IoT European
Large-Scale Pilots Programme and the IoT European Security and
Privacy Projects - presenting new concepts, ideas and future IoT
trends and ways of integrating open data frameworks and IoT
marketplaces into larger deployment ecosystems. The IoT and
Industrial Internet of Things technologies are moving towards
hyperautomated solutions - combining hyperconnectivity, artificial
intelligence (AI), distributed ledger technologies and
virtual/augmented extended reality, with edge computing and deep
edge processing becoming an assertive factor across industries for
implementing intelligent distributed computing resources and data
to keep the efficient data exchange and processing local to reduce
latency, exploit the sensing/actuating capabilities and enable
greater autonomy. Expanding the adoption of consumer, business,
industrial and tactile IoT requires further development of
hyperautomated IoT concepts for collaborative solutions involving
machines and humans to expand augmented creativity at the
application level using AI to optimise the industrial processes and
progress towards a symbiotic economy based on distributed federated
cloud/edge infrastructure allowing resource sharing in the form of
computing, memory and analytics capabilities. The advances of
autonomous IoT applications delivering services in real-time
encompasses development in servitisation, robotisation, automation
and hyperconnectivity, which are essential for the rapid evolution
of industrial enterprises in the new digital era. The rise of
digital twins integrated into IoT platforms as fully interactive
elements embedded into the simulation and optimisation environment,
as well as the embedment of AI techniques and methods, enhances the
accuracy and performance of models in the various IoT and
Industrial Internet of Things applications. The convergence of
technologies to provide scalable, interoperable IoT-enabled
applications pushed the requirements for high bandwidth, low
latency and robust and dependable connectivity to support the
industry's demand for deeper integration and improved analytics to
deliver sustainable competitive advantage products and services,
enabling digital transformation with a focus on new business
models. Safety and security are interlinked for the next wave of
IoT technologies and applications and combined, prove a greater
value for rapid adoption. The new IoT technologies are essential
for facilitating sustainable development, reducing energy
consumption and, by supporting the optimisation of products and
processes, mitigating unnecessary carbon emissions - thereby
reducing the environmental impact through real-time data
collection, analysis, exchange, and processing.
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