Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Z Zhou, Z Jia, H Liao, W Lu, S Mumtaz… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …

Blockchain and semi-distributed learning-based secure and low-latency computation offloading in space-air-ground-integrated power IoT

H Liao, Z Wang, Z Zhou, Y Wang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Power systems impose stringent security and delay requirements on computation offloading,
which cannot be satisfied by existing power Internet of Things (PIoT) networks. In this paper …

Adaptive learning-based delay-sensitive and secure edge-end collaboration for multi-mode low-carbon power IoT

H Liao, Z Jia, R Wang, Z Zhou, F Wang… - China …, 2022 - ieeexplore.ieee.org
Multi-mode power internet of things (PIoT) combines various communication media to
provide spatio-temporal coverage for low-carbon operation in smart park. Edge-end …

[HTML][HTML] Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty

R Van Steenbergen, M Mes, W Van Heeswijk - … Research Part C: Emerging …, 2023 - Elsevier
Effective humanitarian relief operations are challenging in the aftermath of disasters, as
trucks are often faced with considerable travel time uncertainties due to damaged …

Routing algorithms as tools for integrating social distancing with emergency evacuation

YL Tsai, C Rastogi, PK Kitanidis, CB Field - Scientific reports, 2021 - nature.com
One of the lessons from the COVID-19 pandemic is the importance of social distancing, even
in challenging circumstances such as pre-hurricane evacuation. To explore the implications …

Delay-reliability-aware protocol adaption and quality of service guarantee for message queuing telemetry transport-empowered electric Internet of things

H Zhang, H Zhang, Z Wang, Z Zhou… - International …, 2022 - journals.sagepub.com
Message queuing telemetry transport has emerged as a promising communication protocol
for resource-constrained electric Internet of things due to high bandwidth utilization, simple …

Energy Efficient Beamforming for Small Cell Systems: A distributed Learning and Multicell Coordination Approach

H Zhou, X Wang, M Umehira, B Han… - ACM Transactions on …, 2023 - dl.acm.org
The integration of small cell architecture and edge intelligence is expected to make high-
grade mobile connectivity accessible and thus provide smart and efficient services for …

Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning

H Kabir, ML Tham, YC Chang, CO Chow, Y Owada - Sensors, 2023 - mdpi.com
Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and
hurricanes, have become more common in recent years due to rapid climate change. For …

[HTML][HTML] Reinforcement learning for joint channel/subframe selection of LTE in the unlicensed spectrum

Y Kishimoto, X Wang, M Umehira - Wireless Communications and …, 2021 - hindawi.com
In recent years, to cope with the rapid growth in mobile data traffic, increasing the capacity of
cellular networks is receiving more and more attention. To this end, offloading the current …

Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT

H Liao, Z Jia, Z Wang, Z Zhou, X Wang… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Multi-mode power internet of things (PIoT) provides spatio-temporal coverage for low-carbon
operation in smart park through combining various communication media. Heterogeneous …