A novel routing protocol based on grey wolf optimization and Q learning for wireless body area network

P Bedi, S Das, SB Goyal, PK Shukla, S Mirjalili… - Expert Systems with …, 2022 - Elsevier
Abstract Recently, Wireless Body Area Networks (WBAN) have been developed to advance
Internet-of-Things (IoT) that play an essential role in biomedical applications. While …

Solving the mesh router nodes placement in wireless mesh networks using coyote optimization algorithm

SM Taleb, Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2022 - ieeexplore.ieee.org
Wireless Mesh Networks (WMNs) have rapid real developments during the last decade due
to their simple implementation at low cost, easy network maintenance, and reliable service …

Routing protocol for wireless sensor networks based on archimedes optimization algorithm

Y Yao, D Xie, Y Li, C Wang, Y Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
One of the key design problems of wireless sensor networks is to reduce energy
consumption and improve node survival. Because the battery in sensor nodes is difficult to …

[HTML][HTML] Efficient WSN node placement by coupling KNN machine learning for signal estimations and I-HBIA metaheuristic algorithm for node position optimization

B Poggi, C Babatounde, E Vittori, T Antoine-Santoni - Sensors, 2022 - mdpi.com
Wireless sensor network (WSN) deployment is an intensive field of research. In this paper,
we propose a novel approach based on machine learning (ML) and metaheuristics (MH) for …

Fuzzy logic supervisor-based novel energy management strategy reflecting different virtual power plants

Z Cabrane, J Kim, K Yoo, SH Lee - Electric Power Systems Research, 2022 - Elsevier
The designs of the different components of current power grids are undergoing a significant
change corresponding to various energy management strategies (EMSs). Standalone plants …

[HTML][HTML] Enhancing the lifetime and energy efficiency of wireless sensor networks using Aquila Optimizer algorithm

AA Taha, HO Abouroumia, SA Mohamed, LA Amar - Future Internet, 2022 - mdpi.com
As sensors are distributed among wireless sensor networks (WSNs), ensuring that the
batteries and processing power last for a long time, to improve energy consumption and …

Comprehensive study on machine learning-based container scheduling in cloud

W Moussa, M Nashaat, W Saber, R Rizk - International Conference on …, 2022 - Springer
Containers are considered the best lightweight application in virtualization technology, and it
is promising in enhancing cloud computing services quality. Due to cloud workload diversity …

Recognition of Kannada character scripts using hybrid feature extraction and ensemble learning approaches

SPT Parashivamurthy… - Cybernetics and …, 2023 - Taylor & Francis
An automated handwritten script identification system seeks more attention in the academic
research field and commercial applications. Recognizing the handwritten Kannada scripts in …

Scalable energy optimization of resources for mobile cloud computing using sensor enabled cluster based system

SK Yadav, R Kumar - Wireless Networks, 2024 - Springer
The rising craze of sensor enabled mobile devices promotes its usage in Mobile Cloud
Computing (MCC), Mobile Edge Computing (MEC) and other distributed computing …

Advancing Working Energy Efficiency in WSN through Sleep Scheduling and Fan-Shaped Clustering

AM Kuthe, S Khandelwal - International Journal of Intelligent Systems and …, 2024 - ijisae.org
Improving how wireless sensor networks (WSNs) use energy during communication is
important. Many clustering and sleep scheduling models exist. But they often work the same …