Wireless sensor networks: a survey, categorization, main issues, and future orientations for clustering protocols

S El Khediri - Computing, 2022 - Springer
Wireless sensor networks (WSNs) have turned into a leading area of research over the
course of the last few decades as they have been employed in various application domains …

Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks

CN Vanitha, S Malathy, RK Dhanaraj, A Nayyar - Computer networks, 2022 - Elsevier
Optimal route selection and circumventing the route deviation is essential in sensor
transmission to reach the destination properly and to save energy in sensors. Wireless …

An energy‐efficient auto clustering framework for enlarging quality of service in Internet of Things‐enabled wireless sensor networks using fuzzy logic system

PIV Padmanaban… - Concurrency and …, 2022 - Wiley Online Library
The advancement of the Internet of Things (IoT) technologies will play a vital role in the
evolution of the smart city, smart healthcare, and smart grid applications. Wireless sensor …

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

SK Gupta, S Singh - International Journal of Communication …, 2022 - Wiley Online Library
Wireless sensor network (WSN) is frequently being used for increasing the data collection
and monitoring critical parameters. Major challenge in WSN design is achieving the better …

[HTML][HTML] Energy efficient routing and dynamic cluster head selection using enhanced optimization algorithms for wireless sensor networks

I Adumbabu, K Selvakumar - Energies, 2022 - mdpi.com
A large number of spatially dispersed nodes on the wireless network create Wireless Sensor
Networks (WSNs) to collect and analyze the physical data from the environment. The issues …

Artificial Bee Colony reinforced extended Kalman filter localization algorithm in internet of things with big data blending technique for finding the accurate position of …

RS Raghav, K Thirugnanasambandam, V Varadarajan… - Big Data, 2022 - liebertpub.com
In recent years, the growth of internet of things (IoT) is immense, and the observations of
their evolution need to be carried out effectively. The development of the IoT has been …

Enhanced particle swarm optimization based node localization scheme in wireless sensor networks

S Singh, R Poonkuzhali, G Nithya… - 2022 International …, 2022 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are widely examined recently because of their various
applications in processes which has to scatter over a vast region. sensor's locations in …

[HTML][HTML] Localization in wireless sensor network using machine learning optimal trained deep neural network by parametric analysis

S Kagi, BS Mathapati - Measurement: Sensors, 2022 - Elsevier
Sensor nodes (SNs), which are a component of wireless sensor devices, have several uses
in monitoring and surveillance. To perform location-based routing, the sensor nodes must be …

An energy-efficient k-means clustering fpga accelerator via most-significant digit first arithmetic

S Gorgin, MH Gholamrezaei… - … Conference on Field …, 2022 - ieeexplore.ieee.org
K-means clustering is the most well-known unsupervised learning method that partitions the
input dataset into K clusters based on the similarity between the data samples. In this paper …

[PDF][PDF] An Efficient Routing Mechanism for Node Localization, Cluster Based Approach and Data Aggregation to Extend WSN Lifetime.

P Rajanikanth, KS Reddy - International Journal of Intelligent …, 2022 - researchgate.net
The Last decade the demand for wireless communication has increased massively. Wireless
Sensor Networks (WSN) have turned out as a potential solution for various real-time …