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 …

Intelligent EV charging for urban prosumer communities: An auction and multi-agent deep reinforcement learning approach

L Zou, MS Munir, YK Tun, S Kang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Risk-aware energy scheduling for edge computing with microgrid: A multi-agent deep reinforcement learning approach

MS Munir, SF Abedin, NH Tran, Z Han… - … on Network and …, 2021 - ieeexplore.ieee.org
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 …

Edge assisted crime prediction and evaluation framework for machine learning algorithms

A Adhikary, SA Murad, MS Munir… - 2022 International …, 2022 - ieeexplore.ieee.org
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 …

A novel dynamic approach for risk analysis and simulation using multi-agents model

H Kanj, WHF Aly, S Kanj - Applied Sciences, 2022 - mdpi.com
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 …

Multi-agent meta-reinforcement learning for self-powered and sustainable edge computing systems

MS Munir, NH Tran, W Saad… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Assessing versatility of a generic end-to-end platform for IoT ecosystem applications

R Berta, F Bellotti, A De Gloria, L Lazzaroni - Sensors, 2022 - mdpi.com
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 …

When CVaR meets with Bluetooth PAN: A physical distancing system for COVID-19 proactive safety

MS Munir, AK Bairagi, CS Hong - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
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 …

Joint optimization of radio resources and coverage enhancement in massive microgrid networks

A Othman, JVC Evangelista, G Kaddoum… - … on Network and …, 2023 - ieeexplore.ieee.org
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) …

Risk adversarial learning system for connected and autonomous vehicle charging

MS Munir, KT Kim, K Thar, D Niyato… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
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 …