[HTML][HTML] Clustering objectives in wireless sensor networks: A survey and research direction analysis

A Shahraki, A Taherkordi, Ø Haugen, F Eliassen - Computer Networks, 2020 - Elsevier
Abstract Wireless Sensor Networks (WSNs) typically include thousands of resource-
constrained sensors to monitor their surroundings, collect data, and transfer it to remote …

A survey and future directions on clustering: From WSNs to IoT and modern networking paradigms

A Shahraki, A Taherkordi, Ø Haugen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …

Optimized and dynamic selection of cluster head using energy efficient routing protocol in WSN

MB Shyjith, CP Maheswaran, VK Reshma - Wireless Personal …, 2021 - Springer
Abstract Wireless Sensor Networks plays an outstanding role in providing dynamic cluster
head (CH) selection. However, the selection of CH is a major challenge due to erroneous …

[PDF][PDF] Energy-Efficient and Blockchain-Enabled Model for Internet of Things (IoT) in Smart Cities.

NS Alghamdi, MA Khan - Computers, Materials & Continua, 2021 - researchgate.net
Wireless sensor networks (WSNs) and Internet of Things (IoT) have gained more popularity
in recent years as an underlying infrastructure for connected devices and sensors in smart …

ELDC: An artificial neural network based energy-efficient and robust routing scheme for pollution monitoring in WSNs

A Mehmood, Z Lv, J Lloret… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The range of applications of Wireless Sensor Networks (WSNs) is increasing continuously
despite of their serious constraints of the sensor nodes' resources such as storage …

Hierarchical clustering nodes collaborative scheduling in wireless sensor network

M Wang, J Zeng - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Network lifetime and coverage are the key evaluation metrics of Wireless Sensor Networks
(WSNs). Aiming at network lifetime, Hierarchical Clustering-task Scheduling Policy (HCSP) …

Unsupervised Learning-Based WSN Clustering for Efficient Environmental Pollution Monitoring

CN Tadros, N Shehata, B Mokhtar - Sensors, 2023 - mdpi.com
Wireless Sensor Networks (WSNs) have been adopted in various environmental pollution
monitoring applications. As an important environmental field, water quality monitoring is a …

Gaussian regression models for evaluation of network lifetime and cluster-head selection in wireless sensor devices

AM George, SY Kulkarni, CP Kurian - IEEE Access, 2022 - ieeexplore.ieee.org
The paper presents a model predictive approach for evaluating network lifetime and cluster
head selection for a wireless sensor network. The dynamic parameters of a wireless sensor …

[PDF][PDF] Machine learning and deep learning techniques on wireless networks

P Sarao - International Journal of Engineering Research and …, 2019 - academia.edu
In this paper, we address the several issues and challenges for applying machine learning
and deep learning techniques in wireless networks. Designing the machine learning base …

Vehicle monitoring and surveillance through vehicular sensor network

P Singh - Cloud-Based Big Data Analytics in Vehicular Ad-Hoc …, 2021 - igi-global.com
There are a lot of prospects of the vehicular network, including the artificial neural networks
incorporating a wireless sensor network. Its number comes after the mobile communication …