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Intelligent Offloading for Collaborative Smart City Services in Edge Computing

delete2020-09-01
delete104
PRE
AI
许
许小龙 (Xiaolong Xu)
Q
Qihe Huang
X
Xiaochun Yin
M
Mahdi Abbasi
M
Mohammad R. Khosravi
L
Lianyong Qi *
DOI:10.1109/JIOT.2020.3000871delete
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摘要

摘要

En 中文
Smart city is a fast-developing system enabled by Internet of Things (IoT) with massive collaborative services (e.g., intelligent transportation and collaborative diagnosis). Generally, the terminals in the smart city are provided with limited computing ability, thus incapable of processing the diversified and cross-application services. Faced with insufficient resource provisioning for the collaborative smart city services, edge computing is emerged as a novel paradigm to provide city terminals with more processing capacity. Nevertheless, as there is a tremendous threat of disclosing private information in the offloading of collaborative services, it is imperative to improve privacy security in the edge computing. With the intention of addressing the privacy disclosure, an intelligent offloading method (IOM) for smart city, realizing privacy preservation, improving offloading efficiency, and promoting edge utility, is proposed. Technically, the information entropy mechanism is employed to be integrated with edge computing to obtain the balance between privacy preservation and collaborative service performance. Eventually, the simulation analysis is implemented to verify the effectiveness of IOM.
Keyword:
Smart cities
Collaboration
Edge computing
Privacy
Internet of Things
Time factors
Collaborative service
edge computing
intelligent offloading
Internet of Things (IoT)
smart cities
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期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

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bu ali sina university
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weifang university of science & technology
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Persian Gulf University
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Qufu Normal University
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