The Internet of Autonomous Things applications: A taxonomy, technologies, and future directions

A Hemmati, AM Rahmani - Internet of Things, 2022 - Elsevier
Abstract The Internet of Autonomous Things (IoAT), also known as Autonomous Things
(AuT), is a relatively new concept for technological advancements that enable autonomous …

Optimization of clustering in wireless sensor networks: techniques and protocols

AM Jubair, R Hassan, AHM Aman, H Sallehudin… - Applied Sciences, 2021 - mdpi.com
Recently, Wireless Sensor Network (WSN) technology has emerged extensively. This began
with the deployment of small-scale WSNs and progressed to that of larger-scale and Internet …

The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Intelligent routing algorithm for wireless sensor networks dynamically guided by distributed neural networks

Z Liu, Y Liu, X Wang - Computer Communications, 2023 - Elsevier
Using reinforcement learning to adjust the power balance of sensor nodes dynamically is an
essential approach for extending the lifetime of wireless sensor networks (WSNs), which …

Probabilistic buckshot-driven cluster head identification and accumulative data encryption in WSN

P Naga Srinivasu, R Panigrahi, A Singh… - Journal of Circuits …, 2022 - World Scientific
Several nonterminal nodes in the ad-hoc sensor network architecture are involved in
effectively communicating data. There are not enough nodes other than the terminals to …

VANET Jamming and Adversarial Attack Defense for Autonomous Vehicle Safety.

H Kim, JM Chung - Computers, Materials & Continua, 2022 - search.ebscohost.com
Abstract The development of Vehicular Ad-hoc Network (VANET) technology is hel**
Intelligent Transportation System (ITS) services to become a reality. Vehicles can use …

Energy harvest of multiple smart sensors with real-time fault-detection

C Hou, R Shi, Q Huang, Y Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For multiple smart sensors with limited energy supply, the relationship between the energy
supply and sensor fault-free region is often unknown, and neither of the interior structure nor …

Energy-balanced routing in wireless sensor networks with reinforcement learning using greedy action chains

Z Liu, X Wang - Soft Computing, 2023 - Springer
The challenge of routing in energy-constrained wireless sensor networks is to balance
energy and extend network lifetime, and reinforcement learning is an effective method to …

Energy-Efficient Control of Multiple Smart Sensors With Uncertain Controllability

C Hou - IEEE Transactions on Automation Science and …, 2024 - ieeexplore.ieee.org
For multiple smart sensors (MSSs) operating with limited energy, a smart sensor is said to be
controllable if there exists proper external signal (ES) enabling it to report the sensing data …

Energy-Optimal Control of Multiple Smart Sensors With Faulty External Signal

C Hou, SN Haider - IEEE Transactions on Automation Science …, 2023 - ieeexplore.ieee.org
For multiple smart sensors (MSSs) operating with limited energy, the external signal (ES)
often serves an indispensable role in enabling them to report their sensing data, reflecting …