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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 ...
Cluster-based Cooperative Multicast for Multimedia Data Dissemination in Vehicular Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the development of communication technologies, vehicular network applications have evolved from basic traffic safety and efficiency applications to information and entertainment applications. The implementation of ...
An Electric Vehicle Charging Reservation Approach Based on Blockchain
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The popularity of electric vehicles depends on convenient and efficient charging services. At present, none of existing charging services allow users to reach charging stations at desirable time and charge immediately when ...
Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid
(
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. ...
A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
As a typical application scenarios of Internet of Things (IoT), Internet of Vehicles (IoV) is playing an important role in the field of intelligent transportation. In such a system, vehicles are allowed to collect ambient ...
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
5G networks are designed not only to transport data, but also to process them while supporting a vast number of services with different key Performance Indicators (KPIs). Network virtualization has emerged to enable this ...
Federated Deep Actor-Critic-Based Task Offloading in Air-Ground Electricity IoT
(
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
(
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 ...
A Differentially Private Classification Algorithm with High Utility for Wireless Body Area Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The advancement of the wireless body area networks (WBAN) and sensor technologies allows us to collect a variety of physiological and behavioral data from human body. And appropriate application of machine learning methods ...
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
(
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 ...