An efficient clustering framework for massive sensor networking in industrial Internet of Things

SR Pokhrel, S Verma, S Garg… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive machine-type Internet of Things (IoT) communication (mMTIC) has the potential for
high impact in the anticipated future industry 4.0 sensor networking applications. However …

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 energy-aware trust and opportunity based routing algorithm in wireless sensor networks using multipath routes technique

M Hajiee, M Fartash, N Osati Eraghi - Neural Processing Letters, 2021 - Springer
Rapid developments in processors and radio technology have led to the emergence of small
sensor nodes capable of communicating in wireless sensor networks (WSNs). Nodes in …

Self-supervised metalearning generative adversarial network for few-shot fault diagnosis of hoisting system with limited data

Y Li, F Xu, CG Lee - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
Few-shot data collected from hoisting system suffer from inadequate information in the
practical industries, which reduces the diagnostic accuracy of the data-driven-based fault …

Energy-efficient and delay-guaranteed routing algorithm for software-defined wireless sensor networks: A cooperative deep reinforcement learning approach

Y Wang, F Shang, J Lei - Journal of Network and Computer Applications, 2023 - Elsevier
Wireless sensor networks (WSNs) have undergone rapid development but still suffer from
energy shortage issues. Meanwhile, existing energy-efficient routing approaches lack a …

Synchronous wireless sensor and sink placement method using dual-population co-evolutionary constrained multiobjective optimization algorithm

Q Yu, C Yang, G Dai, L Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Optimal wireless sensor placement (OWSP) plays a pivotal role in structural health
monitoring. This study proposes a method to determine the simultaneous placement of …

An enhanced obstacle-aware deployment scheme with an opposition-based competitive swarm optimizer for mobile WSNs

P Musikawan, Y Kongsorot, P Muneesawang… - Expert Systems with …, 2022 - Elsevier
The network coverage problem for an area with a randomly deployed wireless sensor
network (WSN) in the presence of obstacles can be alleviated through mobile sensor nodes …

Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain

AZ Far, MZ Far, S Gharibzadeh, S Zangeneh… - arXiv preprint arXiv …, 2024 - arxiv.org
The accelerated expansion of the Internet of Things (IoT) has raised critical challenges
associated with privacy, security, and data integrity, specifically in infrastructures such as …

Sensor duty cycle for prolonging network lifetime using quantum clone grey wolf optimization algorithm in industrial wireless sensor networks

Y Liu, J Xiao, C Li, H Qin, J Zhou - Journal of Sensors, 2021 - Wiley Online Library
The application of industrial wireless sensor networks (IWSNs) frequently appears in
modern industry, and it is usually to deploy a large quantity of sensor nodes in the …

Energy prediction and energy management in kinetic energy-harvesting wireless sensors network for industry 4.0

A Mouapi, H Mrad - Applied Sciences, 2022 - mdpi.com
Featured Application The work proposes a new approach to design autonomous wireless
sensor network based on kinetic energy harvesting. Abstract Real-time control and …