A Multi-Hop VANETs-Assisted Offloading Strategy in Vehicular Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2981501
Abstract: Mobile edge computing (MEC) is a suitable solution to improve computational capabilities in vehicular environments, and the computation offloading plays a critical role in MEC. After the computation task generates, in traditional offloading strategies, vehicles… read more here.
Keywords: multi hop; mobile edge; offloading strategy; multi ... See more keywords
Blockchain Based Offloading Strategy: Incentive, Effectiveness and Security
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3213324
Abstract: To securely integrate Mobile Edge Computing (MEC) into Wireless Blockchain Network (WBN), this paper proposes a framework for blockchain based offloading strategy, where blockchain nodes are categorized as blockchain users and blockchain miners from a… read more here.
Keywords: blockchain; blockchain based; strategy; based offloading ... See more keywords
Intelligent Latency-Aware Tasks Prioritization and Offloading Strategy in Distributed Fog-Cloud of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3173899
Abstract: Offloading the dynamic tasks with fog computing is envisioned as a viable option for prolonging resource-limited constraints and improving the computational and communicational latency for delay-sensitive IoT applications. Besides, the priority of tasks and the… read more here.
Keywords: latency; strategy; latency aware; intelligent latency ... See more keywords
Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3543976
Abstract: Driven by the increasing demands of vehicular tasks, edge offloading has emerged as a promising paradigm to enhance quality of experience (QoE) in Internet of Vehicles (IoV) networks. This approach enables vehicles to offload computation-intensive… read more here.
Keywords: partial offloading; internet vehicles; energy consumption; reinforcement learning ... See more keywords
A Meta Reinforcement Learning-Based Task Offloading Strategy for IoT Devices in an Edge Cloud Computing Environment
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095412
Abstract: Developing an effective task offloading strategy has been a focus of research to improve the task processing speed of IoT devices in recent years. Some of the reinforcement learning-based policies can improve the dependence of… read more here.
Keywords: reinforcement learning; environment; task; task offloading ... See more keywords
Optimal Task Offloading Strategy for Vehicular Networks in Mixed Coverage Scenarios
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app142310787
Abstract: With the rapidly escalating demand for high real-time performance and data throughput capabilities, the limitations of on-board computing resources have rendered traditional computing services inadequate to meet these burgeoning requirements. Vehicular edge computing offers a… read more here.
Keywords: task; optimal task; task offloading; strategy ... See more keywords
Task Offloading Strategy Based on Mobile Edge Computing in UAV Network
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24050736
Abstract: When an unmanned aerial vehicle (UAV) performs tasks such as power patrol inspection, water quality detection, field scientific observation, etc., due to the limitations of the computing capacity and battery power, it cannot complete the… read more here.
Keywords: offloading strategy; mobile edge; edge computing; edge ... See more keywords