Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Energy-efficient cluster head selection in wireless sensor networks using an improved grey wolf optimization algorithm
M Rami Reddy, ML Ravi Chandra, P Venkatramana… - Computers, 2023 - mdpi.com
The internet of things (IoT) and industrial IoT (IIoT) play a major role in today's world of
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
Energy-efficient cluster head selection through relay approach for WSN
In the clustering method, the cluster head node loses much energy between transmissions
to the base station, confirming that determining the cluster heads is crucial. A robust …
to the base station, confirming that determining the cluster heads is crucial. A robust …
Optimization of clustering in wireless sensor networks: techniques and protocols
Recently, Wireless Sensor Network (WSN) technology has emerged extensively. This began
with the deployment of small-scale WSNs and progressed to that of larger-scale and Internet …
with the deployment of small-scale WSNs and progressed to that of larger-scale and Internet …
Machine learning techniques for energy efficiency and anomaly detection in hybrid wireless sensor networks
Wireless sensor networks (WSNs) are among the most popular wireless technologies for
sensor communication purposes nowadays. Usually, WSNs are developed for specific …
sensor communication purposes nowadays. Usually, WSNs are developed for specific …
Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks
Cloud-assisted internet of things (CIoT) is backboned by the wireless sensor network (WSN)
architecture. A sensor network is an autonomous self-resource constraint collection of …
architecture. A sensor network is an autonomous self-resource constraint collection of …
Energy efficiency trade-off between duty-cycling and wake-up radio techniques in IoT networks
A Kozłowski, J Sosnowski - Wireless Personal Communications, 2019 - Springer
Energy consumption has become dominant issue for wireless internet of things (IoT)
networks with battery-powered nodes. The prevailing mechanism allowing to reduce energy …
networks with battery-powered nodes. The prevailing mechanism allowing to reduce energy …
A fuzzy logic approach by using particle swarm optimization for effective energy management in IWSNs
M Collotta, G Pau, V Maniscalco - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Industrial Wireless Sensor Networks (IWSNs) allow the use of battery-operated nodes to
provide easy deployment, even in harsh environments, and are low maintenance. The …
provide easy deployment, even in harsh environments, and are low maintenance. The …
Wireless sensor networks: network life time enhancement using an improved grey wolf optimization algorithm
K Hegde, R Dilli - Engineered Science, 2022 - espublisher.com
Clustering is an effective technique in a wireless sensor network (WSN) to minimize energy
consumption and low-energy adaptive clustering hierarchy (LEACH) is the most popular …
consumption and low-energy adaptive clustering hierarchy (LEACH) is the most popular …
Development of fuzzy based energy efficient cluster routing protocol to increase the lifetime of wireless sensor networks
Abstract Wireless Sensor Network is a wide area monitoring tools supporting for Scientific
Research, Low-power microscopic sensors. WSN uses limited resource memory …
Research, Low-power microscopic sensors. WSN uses limited resource memory …