Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks

SN Mohanty, EL Lydia, M Elhoseny… - Physical …, 2020 - Elsevier
Wireless sensor network (WSN) comprises a collection of sensor nodes employed to monitor
and record the status of the physical environment and organize the gathered data at a …

Energy-efficient architecture for wireless sensor networks in healthcare applications

N Saleh, A Kassem, AM Haidar - IEEE access, 2018 - ieeexplore.ieee.org
The need to deploy wireless sensor networks (WSNs) for real-world applications, such as
mobile multimedia for healthcare organizations, is increasing spectacularly. However, the …

An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks

J Wang, Y Gao, W Liu… - International Journal of …, 2019 - journals.sagepub.com
Numerous tiny sensors are restricted with energy for the wireless sensor networks since
most of them are deployed in harsh environments, and thus it is impossible for battery re …

An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning

A Bagwari, J Logeshwaran, K Usha… - IEEE …, 2023 - ieeexplore.ieee.org
Industrial Wireless Sensor Networks (WSNs) are becoming increasingly popular due to their
enhanced scalability and low cost of deployment. However, they also present new …

Machine learning for advanced wireless sensor networks: A review

T Kim, LF Vecchietti, K Choi, S Lee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

Machine learning algorithms for wireless sensor networks: A survey

DP Kumar, T Amgoth, CSR Annavarapu - Information Fusion, 2019 - Elsevier
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

Machine learning techniques for energy efficiency and anomaly detection in hybrid wireless sensor networks

M Mittal, RP De Prado, Y Kawai, S Nakajima… - Energies, 2021 - mdpi.com
Wireless sensor networks (WSNs) are among the most popular wireless technologies for
sensor communication purposes nowadays. Usually, WSNs are developed for specific …

FAJIT: a fuzzy-based data aggregation technique for energy efficiency in wireless sensor network

S Bhushan, M Kumar, P Kumar, T Stephan… - Complex & Intelligent …, 2021 - Springer
Wireless sensor network (WSN) is used to sense the environment, collect the data, and
further transmit it to the base station (BS) for analysis. A synchronized tree-based approach …

Improving the software-defined wireless sensor networks routing performance using reinforcement learning

MU Younus, MK Khan, AR Bhatti - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …

Analysis of data aggregation and clustering protocol in wireless sensor networks using machine learning

P William, A Badholia, V Verma, A Sharma… - … Computing and Mobile …, 2022 - Springer
Abstract Wireless Sensor Networks (WSNs) monitor dynamic environments that change
rapidly over time. As the Wireless Sensor Networks are resource-constrained, energy …