Learning based dynamic resource allocation in uav-assisted mobile crowdsensing networks

Mobility-Aware Partial Task Offloading and Resource Allocation Based on Deep Reinforcement Learning for Mobile Edge Computing

Y Li, Y Liu, X Liu, Y Xie, G Han, T Qiu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) is widely recognized as one of the key solutions for future
networks to enhance network performance. A reasonable offloading strategy can enhance …
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A Coverage-Aware High-Quality Sensing Data Collection Method in Mobile Crowd Sensing

Y Wang, H Gao, ECH Ngai, K Niu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd
sensing (MCS) by addressing two critical challenges: uncontrollable data quality and …
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Task-Driven Delay Minimization for UAV-Assisted Mobile Crowdsensing Networks: A Joint Optimization Approach

X Deng, Y Fu, Q Zhu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In this work, we investigate a task-driven delay minimization problem for unmanned aerial
vehicle (UAV) enabled mobile crowdsensing (MCS) networks. Our focus is to reduce overall …
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