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Indoor Localization Using Multi-Bluetooth Beacon Deployment in a Sparse Edge Computing Environment. [PDF]

Digit Twins Appl
Saghafi S, Kiarashi Y, Rodriguez AD, Levey AI, Kwon H, Clifford GD.   +5 more
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Retraction: Adoption of image surface parameters under moving edge computing in the construction of mountain fire warning method. [PDF]

PLoS One
PLOS One Editors.
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Edge Computing and Cloud

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Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

IEEE Communications Surveys and Tutorials, 2020
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of Things (IoT). IIoT links all types of industrial equipment through the network; establishes data acquisition, exchange, and analysis systems; and optimizes ...
Jiancheng Chi, Tie Qiu, Xiaobo Zhou
exaly   +2 more sources

The Emergence of Edge Computing

Computer, 2017
Industry investment and research interest in edge computing, in which computing and storage nodes are placed at the Internet's edge in close proximity to mobile devices or sensors, have grown dramatically in recent years. This emerging technology promises to deliver highly responsive cloud services for mobile computing, scalability and privacy-policy ...
M. Satyanarayanan
openaire   +3 more sources

Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review

IEEE Internet of Things Journal, 2023
Edge computing is an emerging paradigm that offloads the computations and analytics workloads onto the Internet of Things (IoT) edge devices to accelerate the computation efficiency, reduce the channel occupation of signal transmission, and reduce the ...
Siliang Lu, Jinfeng Lu, Kang An, Xiaoxian Wang, Qingbo He   +4 more
semanticscholar   +1 more source

Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing

IEEE Internet of Things Journal, 2023
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a large number of intensive computing tasks.
Xiaoheng Deng, Jian Yin, Peiyuan Guan, N. Xiong, Lan Zhang, Shahid Mumtaz   +5 more
semanticscholar   +1 more source

Task Partitioning and Offloading in DNN-Task Enabled Mobile Edge Computing Networks

IEEE Transactions on Mobile Computing, 2023
Deep neural network (DNN)-task enabled mobile edge computing (MEC) is gaining ubiquity due to outstanding performance of artificial intelligence. By virtue of characteristics of DNN, this paper develops a joint design of task partitioning and offloading ...
Mingjin Gao, R. Shen, Long Shi, Wen-xin Qi, Jun Li, Yonghui Li   +5 more
semanticscholar   +1 more source