Pervasive Computing in IoT

In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergenc...

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Jazyk:English
Vydavateľské údaje: MDPI - Multidisciplinary Digital Publishing Institute 2024
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ISBN:3725814880, 9783725814879, 3725814872, 9783725814886
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Abstract In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergency management. In such highly distributed and scalable architectures, each of the three processes can be situated at any physical or virtual computing system and located, ideally, at any place. Hence, communication and interoperation between the subsystems that comprise the total IoT system, namely extreme edge, edge, fog, and cloud deployments, are of critical importance. This reprint presents a collection of high-quality, state-of-the-art research papers, each introducing challenging issues in pervasive computing across the different domains of the IoT ecosystem. It comprises four papers focusing on customized application frameworks, three papers dealing with issues of ambient intelligence and assisted living of the aging population, three papers considering blockchain technology in various IoT applications, and two survey papers related to sensors and their applications.
AbstractList In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended to include distributed developments that might scale from a smart home or greenhouse to a smart city, and from autonomous driving to emergency management. In such highly distributed and scalable architectures, each of the three processes can be situated at any physical or virtual computing system and located, ideally, at any place. Hence, communication and interoperation between the subsystems that comprise the total IoT system, namely extreme edge, edge, fog, and cloud deployments, are of critical importance. This reprint presents a collection of high-quality, state-of-the-art research papers, each introducing challenging issues in pervasive computing across the different domains of the IoT ecosystem. It comprises four papers focusing on customized application frameworks, three papers dealing with issues of ambient intelligence and assisted living of the aging population, three papers considering blockchain technology in various IoT applications, and two survey papers related to sensors and their applications.
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Panagiotakis, Spyros
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Snippet In the era of Internet of Things (IoT) that we have entered, the “Monitoring–Decision–Execution” cycle of typical autonomic and automation systems is extended...
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SubjectTerms ABAC
activities of daily living
activity recognition
ambient assisted living
ambient intelligence
application server platform
Arduino microcontroller programming
assessment types
assistive technology
big data
blockchain
capacitive sensing
computational intelligence
Computer science
Computing and Information Technology
cyber security
cyber-physical systems
data analytics
data pre-processing
device identification
edge device
elderly population
feature selection
federated learning
framework
healthcare
human behavior monitoring
human-computer interaction (HCI)
human–computer interaction
indoor localization
indoor location
inertial sensor
interactive surface
internet of things
IoT
IPFS
learning on the edge
low cost
LRS
machine learning
n/a
neural networks
non-fungible tokens
pervasive computing
pervasive learning
posture transitions
records
remote laboratory
SEMAR
sensor
smart cities
smart homes
supervised learning
support vector machine
tactile sensing
tangible sensing
transparency
ubiquitous computing
unsupervised machine learning
xAPI
zero-trust
Title Pervasive Computing in IoT
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