TY - BOOK ID - 138902414 TI - Edge Computing for Internet of Things AU - Lee, Kevin AU - Man, Ka Lok PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - hierarchical edge computing KW - WSN KW - rapid response strategy KW - edge node KW - fog access points KW - cache memory KW - convolutional neural network KW - proactive caching KW - fog computing KW - Internet of Things KW - service placement KW - fog service orchestration KW - spectral classification KW - portable optical fiber spectrometers KW - dew computing KW - edge computing KW - smartphone KW - job scheduling KW - scheduling heuristics KW - mobile edge computing KW - mobile edge server placement KW - multiagent RL KW - edge security KW - offloading computation KW - distributed collaboration KW - data processing KW - dynamic offloading KW - IoT KW - gateways KW - Internet of Things (IoT) KW - failure recovery KW - FP-Growth algorithm KW - association rules KW - frequency pattern analysis KW - computational offloading KW - orchestration KW - functional programming KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:138902414 AB - 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. ER -