Dual-attention assisted deep reinforcement learning algorithm for energy-efficient resource allocation in industrial internet of things

Y Wang, F Shang, J Lei, X Zhu, H Qin, J Wen - Future Generation …, 2023 - Elsevier
This paper investigates the distributed resource allocation problem for energy-efficient data
forwarding in resource-constrained Industrial Internet of Things (IIoT). We formulate this …

An adaptive QoS and trust-based lightweight secure routing algorithm for WSNs

A Pathak, I Al-Anbagi… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The limited resources and low computational power of wireless sensor networks (WSNs)
make them vulnerable to various security attacks. Conventional security mechanisms …

An intelligent fault tolerant data routing scheme for wireless sensor network-assisted industrial Internet of Things

G Kaur, P Chanak - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
Safety is a major concern for Industrial 4.0 where different physical parameters are
monitored for avoiding uncertain events in the industry. In industries, natural calamities like …

Multi-granularity fusion resource allocation algorithm based on dual-attention deep reinforcement learning and lifelong learning architecture in heterogeneous IIoT

Y Wang, F Shang, J Lei - Information Fusion, 2023 - Elsevier
Deep reinforcement learning (DRL) is a promising technology to address the resource
allocation problem for efficient data transmission in complex network environments …

HOFT-MP: A multipath routing algorithm using hybrid optimal fault tolerant system for WSNs using optimization techniques

M Gurupriya, A Sumathi - Neural Processing Letters, 2022 - Springer
In wireless sensor networks (WSNs), failures are inevitable due to the dynamic environment
and ubiquitous deployment. Node failure can lead to loss of network connectivity, which can …

[HTML][HTML] Robot location privacy protection based on Q-learning particle swarm optimization algorithm in mobile crowdsensing

D Ma, D Kong, X Chen, L Zhang, M Yuan - Frontiers in Neurorobotics, 2022 - frontiersin.org
In the recent years, with the rapid development of science and technology, robot location-
based service (RLBS) has become the main application service on mobile intelligent …

LCSMIBR: Design of a Low complexity Sleep-scheduling Model with Iterative Bioinspired learning for improved Routing efficiency under heterogeneous network …

A Kuthe, S Khandelwal - 2024 - researchsquare.com
One of the best methods for increasing energy efficiency in large-scale wireless networks is
sleep scheduling. The scalability of existing sleep scheduling algorithms is limited in real …

Application of cloud and fog networks and QoS routing optimisation strategies for low delay

F Zhou, H Ding, X Ding - International Journal of Embedded …, 2023 - inderscienceonline.com
This article explores optimisation techniques for cloud networks and low latency QoS routing
to improve the efficiency of QoS routing. Research has found that compared to cloud …

Integrated QoS management technique for internet protocol storage area networks

J Kithinji - 2023 - 41.89.229.23
The increasing number of Information technology Users around the world has led to a
tremendous increase in the amount of data that requires storage. In response to this …