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RIS-assisted device-edge collaborative edge computing for industrial applications
In the Industrial Internet of Things (IIoT), a significant amount of perceived data is generated from massive IoT devices, which requires timely...
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Empowering generative AI through mobile edge computing
Generative artificial intelligence (GenAI) has brought about profound transformations across the diverse domains of the Internet of Things such as...
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Adaptive joint placement of edge intelligence services in mobile edge computing
Mobile edge computing is an energy-efficient paradigm which has great support for resource-limited user devices performing compute-intensive programs...
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Partitioning multi-layer edge network for neural network collaborative computing
There is a trend to deploy neural network on edge devices in recent years. While the mainstream of research often concerns with single edge device...
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Collaborative Offloading Strategy for Dependent Tasks in Mobile Edge Computing
Mobile edge computing offloads computing-intensive applications from resource-constrained terminal devices to adjacent edge servers to meet users’...
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Edge Computing for Digital Twin
Mobile edge computing is a promising solution for analysing and processing a portion of data using the computing, storage, and network resources...
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Evaluation of soft computing in intrusion detection for secure social Internet of Things based on collaborative edge computing
Edge computing is a new trend in the periphery of networks, and it encompasses both cloud computing and the Internet of Things (IoT). As with other...
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Edge Computing for Real-Time Internet of Things Applications: Future Internet Revolution
The Internet of Things (IoT) is a concept that permits the integration of all objects into an Internet environment. IoT has spawned numerous...
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Dijkstra algorithm based cooperative caching strategy for UAV-assisted edge computing system
Recently, the unmanned aerial vehicle (UAV)-assisted edge computing is proposed to improve the quality of service in some scenarios within sparse or...
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D2D communication assisted edge computing based resource pricing and scheduling research in blockchain
Affected by limited computing resources and energy, intelligent terminal devices in edge computing systems cannot perform computationally intensive...
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Computing Offloading Decision Based on Multi-objective Immune Algorithm in Mobile Edge Computing Scenario
Mobile edge computing (MEC) technology enables mobile devices in communication network systems offloading tasks to edge servers, effectively reducing...
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Application of edge computing and artificial intelligence in English MOOC assisted teaching instruction
The traditional MOOC teaching mode lacks personalized learning support and interaction mechanism. In order to solve these problems, this paper uses...
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Joint optimization of energy and delay for computation offloading in vehicular edge computing
With the advancement of information technology, Mobile Edge Computing (MEC) has been integrated into Vehicular Ad Hoc Networks (VANETs) to...
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Wireless edge device intelligent task offloading in mobile edge computing using hyper-heuristics
To overcome with the computation limitation of resource-constrained wireless IoT edge devices, providing an efficient task computation offloading and...
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MPSO: An Optimization Algorithm for Task Offloading in Cloud-Edge Aggregated Computing Scenarios for Autonomous Driving
With the development of cloud computing and edge computing technologies, these technologies have come to play a crucial role in the field of...
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An effective fitness dependent optimizer algorithm for edge server allocation in mobile computing
Due to the speedy development of mobile communication devices, the traditional cloudlet computing networks struggle to manipulate the huge collected...
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Campus IoT system and students’ employment education innovation based on mobile edge computing
With the rapid development of Internet of things, more and more computing intensive applications are running on the Internet of things terminals....
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Parked vehicles crowdsourcing for task offloading in vehicular edge computing
With computation offloading widely used in the computation-intensive vehicular applications, vehicular edge computing (VEC) faces the resource...
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Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy
With the development of 5 g, computing-intensive and complex applications in smart-city is growing rapidly. Due to the limited resources of mobile...
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Distributed Flexible Job Shop Scheduling through Deploying Fog and Edge Computing in Smart Factories Using Dual Deep Q Networks
Flexible job shop scheduling (FJSP) has garnered enormous attention within the realm of smart manufacturing, where, beyond job sequencing, the...
