A reinforcement learning-based sleep scheduling algorithm for compressive data gathering in wireless sensor networks

X Wang, H Chen, S Li - EURASIP Journal on Wireless Communications …, 2023 - Springer
Compressive data gathering (CDG) is an adequate method to reduce the amount of data
transmission, thereby decreasing energy expenditure for wireless sensor networks (WSNs) …

Optimizing k-coverage in energy-saving wireless sensor networks based on the Elite Global Growth Optimizer

L Chen, Z Qiu, Y Wu, Z Tang - Expert Systems with Applications, 2024 - Elsevier
For energy-constrained wireless sensor networks, enhancing network fault tolerance and
extending lifetime are of paramount importance. In this study, we focus on addressing the …

Swarm intelligence for hole detection and healing in wireless sensor networks

G Simionato, MGCA Cimino - Computer Networks, 2024 - Elsevier
The increasing demand for wireless sensor networks to monitor specific regions has
prompted extensive research on sustaining coverage over time. The main threat to this goal …

Investigating Energy-Efficient Consumption and Intervention Mechanisms for the Manufacturing Sector: A Monopolistic Competition

S Safarzadeh, H Jafari - Arabian Journal for Science and Engineering, 2024 - Springer
Due to the importance of mechanism evaluation of energy efficiency enhancement in recent
years, in this paper, Industrial Energy-Efficiency Programs (IEEPs) are investigated through …

Optimizing Clustering in Wireless Sensor Networks: A Synergistic Approach Using Reinforcement Learning (RL) and Particle Swarm Optimization (PSO)

A Choudhary, NC Barwar - SN Computer Science, 2024 - Springer
Significant research efforts are currently devoted to wireless sensor networks due to its
broad range of applications. WSNs face various constraints, encompassing challenges …