Collaborative offloading method for digital twin empowered cloud edge computing on Internet of Vehicles
L Gu, M Cui, L Xu, X Xu - Tsinghua Science and Technology, 2022 - ieeexplore.ieee.org
Digital twinning and edge computing are attractive solutions to support computing-intensive
and service-sensitive Internet of Vehicles applications. Most of the existing Internet of …
and service-sensitive Internet of Vehicles applications. Most of the existing Internet of …
Intelligent EV charging for urban prosumer communities: An auction and multi-agent deep reinforcement learning approach
Recently, the deployment of electric vehicles supply equipment (EVSE) and its market is
expanding rapidly to support the massive penetration of electric vehicles (EVs). However, to …
expanding rapidly to support the massive penetration of electric vehicles (EVs). However, to …
Risk-aware energy scheduling for edge computing with microgrid: A multi-agent deep reinforcement learning approach
In recent years, multi-access edge computing (MEC) is a key enabler for handling the
massive expansion of Internet of Things (IoT) applications and services. However, energy …
massive expansion of Internet of Things (IoT) applications and services. However, energy …
Edge assisted crime prediction and evaluation framework for machine learning algorithms
The growing global populations, particularly in major cities, have created new problems,
notably in terms of public safety regulation and optimization. As a result, in this paper, a …
notably in terms of public safety regulation and optimization. As a result, in this paper, a …
A novel dynamic approach for risk analysis and simulation using multi-agents model
Static risk analysis techniques (SRATs) use event graphs and risk analysis assessment
models. Those techniques are not time-based techniques and hence are inadequate to …
models. Those techniques are not time-based techniques and hence are inadequate to …
Multi-agent meta-reinforcement learning for self-powered and sustainable edge computing systems
The stringent requirements of mobile edge computing (MEC) applications and functions
fathom the high capacity and dense deployment of MEC hosts to the upcoming wireless …
fathom the high capacity and dense deployment of MEC hosts to the upcoming wireless …
Assessing versatility of a generic end-to-end platform for IoT ecosystem applications
Availability of efficient development tools for data-rich IoT applications is becoming ever
more important. Such tools should support cross-platform deployment and seamless and …
more important. Such tools should support cross-platform deployment and seamless and …
When CVaR meets with Bluetooth PAN: A physical distancing system for COVID-19 proactive safety
In this work, we propose a risk-aware physical distancing system to assure a private safety
distance from others for reducing the chance of being affected by the COVID-19 or such kind …
distance from others for reducing the chance of being affected by the COVID-19 or such kind …
Joint optimization of radio resources and coverage enhancement in massive microgrid networks
Efficient renewable resource integration is a key pillar of the evolving smart grid vision to
shift from fossil fuels. Microgrids (MGs), empowered by distributed energy resources (DERs) …
shift from fossil fuels. Microgrids (MGs), empowered by distributed energy resources (DERs) …
Risk adversarial learning system for connected and autonomous vehicle charging
In this article, the design of a rational decision support system (RDSS) for a connected and
autonomous vehicle charging infrastructure (CAV-CI) is studied. In the considered CAV-CI …
autonomous vehicle charging infrastructure (CAV-CI) is studied. In the considered CAV-CI …