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An UAV-assisted mobile edge computing offloading strategy for minimizing energy consumption
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s12083-020-00955-wopenalex-snapshot
Optimal task partitioning, Bit allocation and trajectory for D2D-assisted UAV-MEC systems
inferredcites →https://doi.org/10.1080/09500349214551641openalex-snapshot
Elements of Information Theory
inferredcites →https://doi.org/10.1109/18.915665openalex-snapshot
Capacity and optimal resource allocation for fading broadcast channels .I. Ergodic capacity
inferredcites →https://doi.org/10.1109/access.2019.2911018openalex-snapshot
Communication-Aware UAV Path Planning
inferredcites →https://doi.org/10.1109/access.2019.2920065openalex-snapshot
Joint Optimization of Area Throughput and Grid-Connected Microgeneration in UAV-Based Mobile Networks
inferredcites →https://doi.org/10.1109/access.2019.2924045openalex-snapshot
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
inferredcites →https://doi.org/10.1109/comst.2016.2532458openalex-snapshot
Next Generation 5G Wireless Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/ict38272.2016openalex-snapshot
2016 23rd International Conference on Telecommunications (ICT)
inferredcites →https://doi.org/10.1109/jiot.2017.2750180openalex-snapshot
Mobile Edge Computing: A Survey
inferredcites →https://doi.org/10.1109/jiot.2018.2875446openalex-snapshot
Throughput Maximization for UAV-Enabled Wireless Powered Communication Networks
inferredcites →https://doi.org/10.1109/jiot.2018.2878876openalex-snapshot
Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems
inferredcites →https://doi.org/10.1109/jiot.2019.2958975openalex-snapshot
UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization
inferredcites →https://doi.org/10.1109/jiot.2020.2993260openalex-snapshot
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System
inferredcites →https://doi.org/10.1109/jiot.2020.3013752openalex-snapshot
Dynamic Aerial Base Station Placement for Minimum-Delay Communications
inferredcites →https://doi.org/10.1109/jsac.2018.2864421openalex-snapshot
Capacity Characterization of UAV-Enabled Two-User Broadcast Channel
inferredcites →https://doi.org/10.1109/jstsp.2019.2899208openalex-snapshot
Uplink Cooperative NOMA for Cellular-Connected UAV
inferredcites →https://doi.org/10.1109/lcomm.2017.2763135openalex-snapshot
Joint Trajectory and Power Optimization for UAV Relay Networks
inferredcites →https://doi.org/10.1109/lcomm.2021.3052230openalex-snapshot
Energy-Efficient Multi-UAVs Deployment and Movement for Emergency Response
inferredcites →https://doi.org/10.1109/lwc.2019.2891727openalex-snapshot
Energy-Efficient Optimization for UAV-Aided Cellular Offloading
inferredcites →https://doi.org/10.1109/lwc.2020.3024548openalex-snapshot
Energy-Efficient Trajectory Design for UAV-Enabled Communication Under Malicious Jamming
inferredcites →https://doi.org/10.1109/lwc.2020.3029824openalex-snapshot
High Altitude Air-to-Ground Channel Modeling for Fixed-Wing UAV Mounted Aerial Base Stations
inferredcites →https://doi.org/10.1109/mwc.2018.1800023openalex-snapshot
Cellular-Connected UAV: Potential, Challenges, and Promising Technologies
inferredcites →https://doi.org/10.1109/mwc.2018.1800221openalex-snapshot
Fundamental Trade-offs in Communication and Trajectory Design for UAV-Enabled Wireless Network
inferredcites →https://doi.org/10.1109/tcomm.2016.2611512openalex-snapshot
Throughput Maximization for UAV-Enabled Mobile Relaying Systems
inferredcites →https://doi.org/10.1109/tcomm.2019.2900630openalex-snapshot
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
inferredcites →https://doi.org/10.1109/tcomm.2020.2971488openalex-snapshot
Common Throughput Maximization for UAV-Enabled Interference Channel With Wireless Powered Communications
inferredcites →https://doi.org/10.1109/tii.2019.2948406openalex-snapshot
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT
inferredcites →https://doi.org/10.1109/tii.2019.2954944openalex-snapshot
UAV-Enhanced Intelligent Offloading for Internet of Things at the Edge
inferredcites →https://doi.org/10.1109/tmc.2020.2980834openalex-snapshot
Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid
inferredcites →https://doi.org/10.1109/tnse.2020.3029048openalex-snapshot
Intelligent Ubiquitous Network Accessibility for Wireless-Powered MEC in UAV-Assisted B5G
inferredcites →https://doi.org/10.1109/tro.2018.2839087openalex-snapshot
Joint Coverage, Connectivity, and Charging Strategies for Distributed UAV Networks
inferredcites →https://doi.org/10.1109/tvt.2017.2706308openalex-snapshot
Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning
inferredcites →https://doi.org/10.1109/tvt.2019.2935877openalex-snapshot
Joint Resources and Workflow Scheduling in UAV-Enabled Wirelessly-Powered MEC for IoT Systems
inferredcites →https://doi.org/10.1109/tvt.2020.2964821openalex-snapshot
Response Delay Optimization in Mobile Edge Computing Enabled UAV Swarm
inferredcites →https://doi.org/10.1109/tvt.2020.2968343openalex-snapshot
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
inferredcites →https://doi.org/10.1109/tvt.2020.2971520openalex-snapshot
Energy-Efficient and Secure Air-to-Ground Communication With Jittering UAV
inferredcites →https://doi.org/10.1109/twc.2019.2927313openalex-snapshot
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1109/twc.2020.3019097openalex-snapshot
Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design
inferredcites →https://doi.org/10.2514/4.478390openalex-snapshot
Flight Performance of Fixed and Rotary Wing Aircraft
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-9455-6_5openalex-snapshot
Multi-agent Deep Reinforcement Learning with Stochastic Gradient Descent for Peer-to-Peer Computation Offloading in IoT Edge Computing
inferred← citeshttps://doi.org/10.1007/978-981-97-0811-6_13openalex-snapshot
A Game Theory Based Task Offloading Scheme for Maximizing Social Welfare in Edge Computing
inferred← citeshttps://doi.org/10.1007/s00500-023-09600-zopenalex-snapshot
A multi-UAV assisted non-orthogonal multiple access based relay system for minimal average receiving rate maximization
inferred← citeshttps://doi.org/10.1007/s11277-025-11760-0openalex-snapshot
A Novel Approach for Computation Offloading Based on a Parallel Collaborative Genetic Algorithm in MEC
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.07.041openalex-snapshot
Multi-UAV-assisted computation offloading in DT-based networks: A distributed deep reinforcement learning approach
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.09.025openalex-snapshot
An UAV and EV based mobile edge computing system for total delay minimization
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109420openalex-snapshot
Joint resource allocation, user clustering and 3-D location optimization in multi-UAV-enabled mobile edge computing
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110387openalex-snapshot
IRS-assisted energy efficient communication for UAV mobile edge computing
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110615openalex-snapshot
Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach
inferred← citeshttps://doi.org/10.1016/j.pmcj.2023.101806openalex-snapshot
A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption
inferred← citeshttps://doi.org/10.1016/j.simpat.2025.103091openalex-snapshot
BRAVE: Benefit-aware data offloading in UAV edge computing using multi-agent reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.suscom.2024.100972openalex-snapshot
Energy-efficient offloading based on hybrid bio-inspired algorithm for edge–cloud integrated computation
inferred← citeshttps://doi.org/10.1038/s41598-026-67147-zopenalex-snapshot
A forecast-guided reinforcement learning approach for trajectory planning of unmanned aerial base stations
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033376openalex-snapshot
Optimization for Task Offloading and Downloading in UAV-Assisted MEC Systems with Aerial to Aerial Collaboration
inferred← citeshttps://doi.org/10.1109/globecom52923.2024.10901408openalex-snapshot
Latency-Minimization Trajectory Optimization for UAV-enabled NOMA Networks
inferred← citeshttps://doi.org/10.1109/icumt61075.2023.10333303openalex-snapshot
Optimized UAV-Based Connectivity Solutions for Urban IoT Networks
inferred← citeshttps://doi.org/10.1109/indin64977.2025.11279485openalex-snapshot
Intelligent Task Offloading in Multi-UAV-Assisted Multi-Tier Distributed Computing Networks
inferred← citeshttps://doi.org/10.1109/jiot.2023.3277541openalex-snapshot
Computation Offloading Method Using Stochastic Games for Software-Defined-Network-Based Multiagent Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tce.2024.3445290openalex-snapshot
TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics
inferred← citeshttps://doi.org/10.1109/tce.2025.3526797openalex-snapshot
Traffic Prediction Using Lightweight Large Model in AAV-Assisted Mobile Computing for Time-Critical Consumer Electronics
inferred← citeshttps://doi.org/10.1109/tce.2025.3649242openalex-snapshot
Joint UAV Trajectory Optimization and Edge-End Resource Coordination via Lyapunov-Guided Multi-Agent DRL
inferred← citeshttps://doi.org/10.1109/tetc.2023.3268346openalex-snapshot
Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization
inferred← citeshttps://doi.org/10.1109/tits.2023.3296769openalex-snapshot
Multi-Agent Reinforcement Learning With Policy Clipping and Average Evaluation for UAV-Assisted Communication Markov Game
inferred← citeshttps://doi.org/10.1109/tmc.2025.3594283openalex-snapshot
Erasure Coding-Based Cost-Optimized and Latency-Aware Data Storage in UAV-Enabled Edge Systems
inferred← citeshttps://doi.org/10.1109/tnse.2024.3422658openalex-snapshot
Energy Consumption Minimization for Hybrid Federated Learning and Offloadable Tasks in UAV-Enabled WPCN
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3268634openalex-snapshot
Minimal Throughput Maximization of UAV-Enabled Wireless Powered Communication Network in Cuboid Building Perimeter Scenario
inferred← citeshttps://doi.org/10.1109/tsc.2025.3536319openalex-snapshot
User Preference Oriented Service Caching and Task Offloading for UAV-Assisted MEC Networks
inferred← citeshttps://doi.org/10.1109/tvt.2026.3676992openalex-snapshot
Dynamic Offloading for Deadline-Aware Dependent Tasks in UAV-Empowered Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.1145/3626566openalex-snapshot
A Survey on UAV-Enabled Edge Computing: Resource Management Perspective
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Two-Stage Deep Energy Optimization for UAV-Assisted Edge Computing: JointTask Offloading and Deployment
inferred← citeshttps://doi.org/10.1155/2023/2804943openalex-snapshot
Deep Reinforcement Learning‐Based UAV Path Planning for Energy‐Efficient Multitier Cooperative Computing in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1186/s13677-025-00752-xopenalex-snapshot
Perception of premium services based on the evolution of hyper-service network in mobile edge computing
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UAV-Assisted Multi-Object Computing Offloading for Blockchain-Enabled Vehicle-to-Everything Systems
inferred← citeshttps://doi.org/10.3390/drones8090510openalex-snapshot
Multi-UAV Assisted Air–Ground Collaborative MEC System: DRL-Based Joint Task Offloading and Resource Allocation and 3D UAV Trajectory Optimization
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Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach
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An Approach for Maximizing Computation Bits in UAV-Assisted Wireless Powered Mobile Edge Computing Networks
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Energy Criticality Avoidance-Based Delay Minimization Ant Colony Algorithm for Task Assignment in Mobile-Server-Assisted Mobile Edge Computing
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