Browsing by Author "Chen, Yuanfang"
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Graph Mapping Offloading Model Based On Deep Reinforcement Learning With Dependent Task
Mao, Ning; Chen, Yuanfang; Guizani, Mohsen; Lee, Gyu Myoung ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)In order to solve the problem of task offloading with dependent subtasks in mobile edge computing (MEC), we propose a graph mapping offloading model based on deep reinforcement learning (DRL). We model the user's computing ... -
NOMA-based Joint Allocation and Offloading Strategy of Communication and Computing Resources
Li, Dengxu; Chen, Yuanfang; Guizani, Mohsen; Lee, Gyu Myoung ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)This paper proposes an offloading strategy for communication resources and computing resources. Based on the communication background of NOMA, this strategy combines D2D communication and cellular mobile communication to ... -
Solving security problems in MEC systems
Zheng, Xiao; Li, Mingchu; Chen, Yuanfang; Guizani, Mohsen; Liu, Jia; Tahir, Muhammad... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)We propose an algorithm for constructing efficient security strategies in the mobile edge computing (MEC), where the protected targets are nodes connected to the MEC and the mobile users (MUs) are agents capable of preventing ... -
Spatiotemporal Location Differential Privacy for Sparse Mobile Crowdsensing
Yang, Qifan; Chen, Yuanfang; Guizani, Mohsen; Lee, Gyu Myoung ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)مSparse Mobile Crowdsensing (SparseMCS) has become an efficient method for collecting and inferring sensor data at the urban scale, attracting many researchers' attention. However, there is a risk of location privacy being ... -
Understanding the impact of network structure on propagation dynamics based on mobile big data
Chen, Yuanfang; Shu, Lei; Crespi, Noel; Lee, Gyu Myoung; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Understanding the propagation dynamics of information/an epidemic on complex networks is very important for discovering and controlling a terrorist attack, and even for predicting a disease outbreak. As an effective method, ...