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Edge Computing for Internet of Things
Kevin Lee (editor) and Ka Lok Man (editor)
2022
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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.
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Keywords
- association rules
- Cache memory
- computational offloading
- convolutional neural network
- Data processing
- dew computing
- distributed collaboration
- dynamic offloading
- Economics, finance, business & management
- edge computing
- edge node
- edge security
- Energy industries & utilities
- failure recovery
- fog access points
- fog computing
- fog service orchestration
- FP-Growth algorithm
- frequency pattern analysis
- functional programming
- gateways
- hierarchical edge computing
- History of engineering & technology
- Industry & industrial studies
- Internet of Things
- Internet of Things (IoT)
- IoT
- job scheduling
- mobile edge computing
- mobile edge server placement
- multiagent RL
- n/a
- offloading computation
- orchestration
- portable optical fiber spectrometers
- proactive caching
- rapid response strategy
- scheduling heuristics
- service placement
- smartphone
- spectral classification
- Technology, engineering, agriculture
- Technology: general issues
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities
- WSN
Links
DOI: 10.3390/books978-3-0365-4275-1Editions