Status update in IoT networks: Age-of-information violation probability and optimal update rate

L Hu, Z Chen, Y Dong, Y Jia, L Liang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The 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 …

Neural combinatorial deep reinforcement learning for age-optimal joint trajectory and scheduling design in UAV-assisted networks

A Ferdowsi, MA Abd-Elmagid, W Saad… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this article, an unmanned aerial vehicle (UAV)-assisted wireless network is considered in
which a battery-constrained UAV is assumed to move towards energy-constrained ground …

Spatial distribution of the mean peak age of information in wireless networks

PD Mankar, MA Abd-Elmagid… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper considers a large-scale wireless network consisting of source-destination (SD)
pairs, where the sources send time-sensitive information, termed status updates, to their …

Throughput and age of information in a cellular-based IoT network

PD Mankar, Z Chen, MA Abd-Elmagid… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper studies the interplay between device-to-device (D2D) communications and real-
time monitoring systems in a cellular-based Internet of Things (IoT) network. In particular …

Peak age of information distribution for edge computing with wireless links

F Chiariotti, O Vikhrova, B Soret… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Age of Information (AoI) is a critical metric for several Internet of Things (IoT) applications,
where sensors keep track of the environment by sending updates that need to be as fresh as …

Age and energy tradeoff for multicast networks with short packet transmissions

M Xie, J Gong, X Jia, X Ma - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Age of information (AoI) and energy efficiency (EE), as two important performance metrics in
status update systems, usually cannot be simultaneously optimized. This paper investigates …

Age of information and throughput in random access-based IoT systems with periodic updating

YH Bae, JW Baek - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
We consider a random access-based Internet of Things (IoT) system with periodic status
updates. Multiple IoT devices transmit time-stamped status updates, which are generated …

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

L Jin, M Tang, M Zhang, H Wang - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Mobile edge computing (MEC) is a promising paradigm for real-time applications with
intensive computational needs (eg, autonomous driving), as it can reduce the processing …

A reinforcement learning approach for optimizing the age-of-computing-enabled IoT

X Xie, H Wang, M Weng - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Age of Information (AoI) is a newly rising metric for measuring the freshness of information.
In this article, we consider a multidevice computing-enabled Internet of Things (IoT) system …

A multi-user tasks offloading scheme for integrated edge-fog-cloud computing environments

SD Okegbile, BT Maharaj… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a multi-user, multi-class and multi-layer edge computing-based
framework for effective task offloading and computation processes. Important system …