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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2947067
Abstract: Nowadays video content has contributed to the majority of Internet traffic, which brings great challenge to the network infrastructure. Fortunately, the emergence of edge computing has provided a promising way to reduce the video load…
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Keywords:
intelligent caching;
replacement;
long short;
edge assisted ... See more keywords
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Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2904323
Abstract: Edge computing paradigms are expected to solve some major problems affecting current application scenarios that rely on cloud computing resources to operate. These novel paradigms will bring computational resources closer to the users and by…
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Keywords:
edge assisted;
security;
edge computing;
assisted vehicular ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3085429
Abstract: A recent take toward federated analytics (FA), which allows analytical insights of distributed data sets, reuses the federated learning (FL) infrastructure to evaluate the summary of model performances across the training devices. However, the current…
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Keywords:
toward federated;
edge assisted;
federated analytics;
edge demlearn ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3095285
Abstract: Edge-assisted vehicular crowdsensing (EAVC) system is an emerging data collection paradigm in Internet of Vehicles (IoV), where intelligent vehicles collaboratively perform complex sensing tasks under the guidance of the edge server. One of the main…
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Keywords:
data collection;
dedicated vehicles;
internet vehicles;
edge assisted ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151828
Abstract: Cyber–physical system (CPS) provides a foundation for the Industrial Internet of Things (IIoT) that interconnects all types of devices. The integration of CPS with IIoT generates the large volumes of data forcing the development of…
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Keywords:
system;
cps;
model;
edge assisted ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3199921
Abstract: Instance segmentation exploits the potential of Internet of Things (IoT) devices to perceive environmental semantic information and achieve complex interactions with the physical world. However, IoT devices usually have limited computing and storage resources and…
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Keywords:
instance segmentation;
resource limited;
iot devices;
instance ... See more keywords
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Published in 2021 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2021.3113386
Abstract: By orchestrating resources of edge and core network, the delays of edge-assisted computing can decrease. Offloading scheduling is challenging though, especially in the presence of many edge devices with randomly varying link and computing conditions.…
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Keywords:
multi;
bandit;
multi agent;
edge assisted ... See more keywords
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Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3011693
Abstract: Edge-assisted mobile crowdsensing is an emerging paradigm where mobile users collect, and share sensing data at the edge of networks. With the abundant on-board resources, and large movement patterns of intelligent vehicles, they have become…
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Keywords:
assisted mobile;
edge assisted;
intelligent vehicles;
mobile crowdsensing ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3151859
Abstract: In view of the rapid development of edge computing and vehicular network, edge-assisted vehicular crowdsensing system has brought significant benefits to Intelligent Transportation Systems (ITS). To satisfy the requirements of ITS applications, a substantial number…
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Keywords:
vehicular crowdsensing;
assisted vehicular;
cost quality;
edge assisted ... See more keywords
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Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3160857
Abstract: Information freshness is essential to industrial wireless networks (IWNs) and can be quantified by the age-of-information (AoI) metric. This paper addresses an AoI-aware spectrum sharing (AgeS) problem in IWNs, where multiple device-to-device (D2D) links opportunistically…
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Keywords:
wireless networks;
freshness;
industrial wireless;
edge assisted ... See more keywords