Machine learning for coverage optimization in wireless sensor networks: a comprehensive review

OS Egwuche, A Singh, AE Ezugwu, J Greeff… - Annals of Operations …, 2023 - Springer
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …

The comparison of the efficiency of the lecture method and flipped Classroom Instruction Method on EFL Students' academic passion and responsibility

F Liu, X Wang, S Izadpanah - Sage Open, 2023 - journals.sagepub.com
In recent years, there has been an increasing interest in the efficiency of the lecture and
flipped classroom instruction method (FCIM) on EFL students' academic passion (AP) and …

optimal graph convolutional neural network-based ransomware detection for cybersecurity in IoT environment

H Khalid Alkahtani, K Mahmood, M Khalid, M Othman… - Applied Sciences, 2023 - mdpi.com
The fast development of the Internet of Things (IoT) and widespread utilization in a large
number of areas, such as vehicle IoT, industrial control, healthcare, and smart homes, has …

[HTML][HTML] Node localization method in wireless sensor networks using combined crow search and the weighted Centroid method

S Sankaranarayanan, R Vijayakumar, S Swaminathan… - Sensors, 2024 - mdpi.com
Node localization is critical for accessing diverse nodes that provide services in remote
places. Single-anchor localization techniques suffer co-linearity, performing poorly. The …

Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer

S Sikkanan, C Kumar, P Manoharan… - Scientific Reports, 2024 - nature.com
Abstract Non-orthogonal Multiple Access (NOMA) techniques offer potential enhancements
in spectral efficiency for 5G and 6G wireless networks, facilitating broader network access …

A Robust Approach for Energy‐Aware Node Localization in Wireless Sensor Network Using Fitness‐Based Hybrid Heuristic Algorithms

SP Racharla, K Jeyaraj - International Journal of …, 2025 - Wiley Online Library
In wireless sensor network (WSN) applications, the Received Signal Strength Indicator
(RSSI) value from the original signal is determined for computing the distance between the …

Enhanced Teaching Learning Based Optimization for Localization in Wireless Sensor Network

MSB Mozamir, MFB Abdullah - 2023 6th International …, 2023 - ieeexplore.ieee.org
Wireless Sensor Networks (WSN) is a non-wired infrastructure implemented in a huge
number of nodes which can sense the environment such as humidity, temperature, sound …

Communication Analysis of Wireless Sensor Networks with Mobility Function

MZ Iskandarani - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
The objective of this work is to investigate transmission signal patterns in static and mobile
WSNs using MATLAB simulation. The simulation and subsequent analysis shows that the …

Resource Scheduling using Enhanced Teaching–Learning-based Optimizer in Cloud Environment

S Karunakaran, NR Khan, K Porkodi… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Resource Scheduling (RS) in cloud environment is a significant task targeted at effective
management and allocation of cloud resources in order to meet the changing user demands …

Comparative evaluation of localization range-free algorithms in wireless sensor networks

S Edam, D Abubakr, R Rahma, R Yagoub - International Journal of …, 2024 - ajol.info
Localization in wireless sensor networks is essential not only for determining the location but
also for routing, managing density, tracking, and a wide range of other communication …