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Decision-making of IoT device operation based on intelligent-task offloading for improving environmental optimization
Computation offloading enables intensive computational tasks to be separated into multiple computing resources for overcoming hardware limitations....
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Energy-aware task offloading with deadline constraint in mobile edge computing
With the development of the wireless network, increasing mobile applications are emerging and receiving great popularity. These applications cover a...
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Priority-Aware Resource Allocation for RIS-assisted Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach
In this work, we investigate a reconfigurable intelligent surface (RIS) assisted mobile edge computing (MEC) network, where multiple users offload...
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Energy-efficient computation offloading strategy with tasks scheduling in edge computing
In mobile edge computing systems, the energy consumption and execution delay can be reduced dramatically by mobile edge computation offloading (MECO)...
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Piece-wise pricing optimization with computation resource constraints for parked vehicle edge computing
Demands of computation resources dramatically increase with the development of new and popular on-board applications. It is observed that a large...
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ELITE: Energy and Latency-Optimized Task Offloading for DVFS-Enabled Resource-Constrained Devices in MEC
Multi-access Edge Computing (MEC) technology offers promising support for modern, computation-intensive, and time-sensitive applications. Many of...
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Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems
The energy cost minimization for mission-critical internet-of-things (IoT) in mobile edge computing (MEC) system is investigated in this work....
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An Energy Efficient Offloading Technique for UAV-Assisted MEC Using Nature Inspired Algorithm
The significance of unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC)-based applications is increasing exponentially with the...
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Advanced Deep Reinforcement Learning Protocol to Improve Task Offloading for Edge and Cloud Computing
Fog Computing (FC) is an extension of cloud computing, providing services closer to the users near the edge. In FC, the Mobile Devices (MDs) can...
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DEOMAC—Decentralized and Energy-Efficient Framework for Offloading Mobile Applications to Clouds
Although smart mobile devices are virtuous and aggrandize, they are still valued as circular computing devices. To augment the capabilities of smart...
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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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Adaptive computation offloading for latency-sensitive tasks in heterogeneous edge-cloud-enabled smart warehouses using Gau-Angle FIS and AGE-MOEA-II
Industry 4.0 has introduced new development opportunities and ideological guidance to the structural reform of the supply side, as well as new...
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Mobile Computation Offloading in Mobile Edge Computing Based on Artificial Intelligence Approach: A Review and Future Directions
Mobile computation offloading (MCO) is one of the significant processes in mobile edge computing (MEC). MCO is a promising approach to contract with...
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A New Computing Offload Algorithm for Maximizing User Revenue Under Cloud Edge Architecture
In order to solve the problems of traditional Mobile Cloud Computing mode, such as MCC cloud servers often being far away from users, high network...
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Scheduling Offloading Decisions for Heterogeneous Drones on Shared Edge Resources
Multiple applications use autonomous drones to perform data collection and processing missions, which may involve heavyweight computations that need...
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Online Incentive Mechanism Design in Edge Computing
In this chapter, a comprehensive introduction of online incentive mechanism designs in edge computing is provided. We start with some basic but...
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PBRAMEC: Prioritized Buffer Based Resource Allocation for Mobile Edge Computing Devices
In recent years, cloud-based smartphone applications like augmented reality (AR), facial recognition, and object detection have gained popularity...
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Offloading Strategy of D2D Communication and Computing Resources Based on Shared Tasks
This paper proposes a joint resource offloading strategy based on NOMA communication technology. In the scene, cellular network communication and D2D...
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Taxonomy of Green Mobile Cloud Computing for Multimedia Applications
Multimedia analytics on mobile devices is a long-term problem due to the intensive processing and energy requirements. To meet the demands of...
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Reinforcement Learning Based Control Scheme for Emergency Vehicle Preemption with Edge Computing
This paper proposes a reinforcement learning-based collaborative multi-agent actor and critic scheme (RL-CMAS) under edge computing architecture for...
