Mixed game-based AoI optimization for combating COVID-19 with AI bots

Y Yang, W Wang, Z Yin, R Xu, X Zhou… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Since the outbreak of COVID-19 pandemic in 2020, a dramatic loss of human life has
occurred and this trend presents an unprecedented challenge to public health, economic …

Age-of-information minimization in healthcare IoT using distributionally robust optimization

Z Ling, F Hu, H Zhang, Z Han - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this article, we consider a cellular-based healthcare Internet of Things (IoT) system with
imperfect channel state information (CSI), where a healthcare IoT device first receives radio …

Age-based scheduling for monitoring and control applications in mobile edge computing systems

X He, S Wang, X Wang, S Xu… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
With the development of Mobile Edge Computing (MEC) and Internet of Things (IoT)
technology, various real-time monitoring and control applications are deployed to benefit …

Optimizing information freshness in computing-enabled IoT networks

C Xu, HH Yang, X Wang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) has emerged as one of the key features of the next-generation
wireless networks, where timely delivery of status update packets is essential for many real …

Toward green communication in 6G-enabled massive Internet of Things

S Verma, S Kaur, MA Khan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The sixth generation (6G) is envisioned to be a spawned key technology that will support the
ubiquitous and seamless connection of a massive number of Internet-of-Things (IoT) …

Distributed reinforcement learning for age of information minimization in real-time IoT systems

S Wang, M Chen, Z Yang, C Yin… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and
total energy consumption of Internet of Things (IoT) devices is studied. In the considered …

Data freshness optimization under CAA in the UAV-aided MECN: a potential game perspective

W Wang, G Srivastava, JCW Lin, Y Yang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As a promising enabler for edge intelligence, Unmanned Aerial Vehicles (UAV) have
become more and more important in Mobile Edge Computing Networks (MECN), such as …

AoI-aware control and communication co-design for industrial IoT systems

X Wang, C Chen, J He, S Zhu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
A mass of data generated by the widespread smart devices is transmitted through wireless
communication networks for estimation and control in the Industrial-Internet-of-Things (IIoT) …

Minimizing age of information for real-time monitoring in resource-constrained industrial IoT networks

Q Wang, H Chen, Y Li, Z Pang… - 2019 IEEE 17th …, 2019 - ieeexplore.ieee.org
This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a
dynamic process with randomly generated status updates. The status updates are sent to an …

Minimizing age-of-information for fog computing-supported vehicular networks with deep Q-learning

M Chen, Y Xiao, Q Li, K Chen - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Connected vehicular network is one of the key enablers for next generation cloud/fog-
supported autonomous driving vehicles. Most connected vehicular applications require …