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Graph Mapping Offloading Model Based On Deep Reinforcement Learning With Dependent Task
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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 ...
Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The smart grid is already widespread for the purpose of managing energy generation and distribution. In this system, frequent interactions between devices generate mass data, which requires robust processing capability. ...
Federated Deep Actor-Critic-Based Task Offloading in Air-Ground Electricity IoT
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The integration of air-ground electricity internet of things (AGE-IoT) and machine learning, enables flexible network coverage and intelligent task offloading. However, dynamics of AGE-IoT networks, incomplete information, ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ...
Res6Edge: An Edge-AI Enabled Resource Sharing Scheme for C-V2X Communications towards 60
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The paper proposes a sixth-generation (6G)-enabled cellular vehicle-to-anything (C-V2X)-based scheme, ResóEdge, that supports high-data ingestion rate through artificial intelligence (AI) models at edge nodes, or Edge-AI. ...
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Training centralized machine learning (ML) models becomes infeasible in wireless networks due to the increasing number of internet of things (IoT) and mobile devices and the prevalence of the learning algorithms to adapt ...
Visible Forensic Investigation for Android Applications by Using Attack Scenario Reconstruction
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the widespread use of Android devices, research on their security has attracted increasing attention. However, at present, digital forensics for investigating attacks, such as social engineering attacks and phishing ...