Edge Computing for Internet of Things

Edge Computing for Internet of Things

The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce ener...

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Bibliographic Details
Other Authors: Lee, Kevin (Editor), Man, Ka Lok (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Technology: general issues
History of engineering & technology
Energy industries & utilities
hierarchical edge computing
WSN
rapid response strategy
edge node
fog access points
cache memory
convolutional neural network
proactive caching
fog computing
Internet of Things
service placement
fog service orchestration
spectral classification
portable optical fiber spectrometers
dew computing
edge computing
smartphone
job scheduling
scheduling heuristics
mobile edge computing
mobile edge server placement
multiagent RL
edge security
offloading computation
distributed collaboration
data processing
dynamic offloading
IoT
gateways
Internet of Things (IoT)
failure recovery
FP-Growth algorithm
association rules
frequency pattern analysis
computational offloading
orchestration
functional programming
n/a
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Summary:The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
Physical Description:1 electronic resource (186 p.)
ISBN:books978-3-0365-4275-1
9783036542768
9783036542751
Access:Open Access

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