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Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges
In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
Healthcare 5.0: In the perspective of consumer Internet-of-Things-based fog/cloud computing
Nowadays, our society has been experiencing the development of Healthcare 4.0, focusing
on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT) …
on digitalization by utilizing cloud/fog computing-based consumer Internet-of-Things (CIoT) …
Large-scale computation offloading using a multi-agent reinforcement learning in heterogeneous multi-access edge computing
Z Gao, L Yang, Y Dai - IEEE Transactions on Mobile Computing, 2022 - ieeexplore.ieee.org
Recently, existing computation offloading methods have provided extremely low service
latency for mobile users (MUs) in multi-access edge computing (MEC). However, this …
latency for mobile users (MUs) in multi-access edge computing (MEC). However, this …
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial internet of things
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …
the network edge. However, most existing computation offloading strategies consider only …
SONG: A multi-objective evolutionary algorithm for delay and energy aware facility location in vehicular fog networks
With the emergence of delay-and energy-critical vehicular applications, forwarding sense-
actuate data from vehicles to the cloud became practically infeasible. Therefore, a new …
actuate data from vehicles to the cloud became practically infeasible. Therefore, a new …
Joint optimization of multiuser computation offloading and wireless-caching resource allocation with linearly related requests in vehicular edge computing system
L Liu, Z Chen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Recently, vehicular edge computing (VEC) has become one of the hottest research fields in
Internet of Vehicles (IoV). It provides certain computing, storage, and caching resources at …
Internet of Vehicles (IoV). It provides certain computing, storage, and caching resources at …
Collaborative AI-enabled intelligent partial service provisioning in green industrial fog networks
With the evolutionary development of the latency-sensitive industrial Internet-of-Things (IIoT)
applications, delay restriction becomes a critical challenge, which can be resolved by …
applications, delay restriction becomes a critical challenge, which can be resolved by …
Energy-efficient cooperative task offloading in NOMA-enabled vehicular fog computing
Vehicular fog computing (VFC) that supports inter-vehicular task offloading emerges as a
promising complement to handle the explosive growth of computation-intensive tasks in …
promising complement to handle the explosive growth of computation-intensive tasks in …
Dynamic split computing framework in distributed serverless edge clouds
Distributed serverless edge clouds and split computing are promising technologies to
reduce the inference latency of large-scale deep neural networks (DNNs). In this article, we …
reduce the inference latency of large-scale deep neural networks (DNNs). In this article, we …
车联网隐私保护研究综述.
邓雨康， 张磊， **晶 - Application Research of Computers …, 2022 - search.ebscohost.com
车联网是一种通过在车辆, 行人, 路边单元等通信实体之间构建一个网络拓扑来提供高效,
安全的信息服务的网络, 车联网能够有效满足人们对交通环境日益增长的需求 …
安全的信息服务的网络, 车联网能够有效满足人们对交通环境日益增长的需求 …