Cluster-based routing protocols in wireless sensor networks: A survey based on methodology

F Fanian, MK Rafsanjani - Journal of Network and Computer Applications, 2019 - Elsevier
In today's world that all sciences and technologies, including Wireless Sensor Networks
(WSNs) are dealing with the improvement of the existing solutions, we are looking for time …

Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …

J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

[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 …

A survey of clustering techniques in WSNs and consideration of the challenges of applying such to 5G IoT scenarios

L Xu, R Collier, GMP O'Hare - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
Wireless sensor network (WSN) systems are typically composed of thousands of sensors
that are powered by limited energy resources. To extend the networks longevity, clustering …

[HTML][HTML] Modified grey wolf optimizer for global engineering optimization

N Mittal, U Singh, BS Sohi - Applied Computational Intelligence and …, 2016 - hindawi.com
Nature-inspired algorithms are becoming popular among researchers due to their simplicity
and flexibility. The nature-inspired metaheuristic algorithms are analysed in terms of their …

An affinity propagation-based self-adaptive clustering method for wireless sensor networks

J Wang, Y Gao, K Wang, AK Sangaiah, SJ Lim - Sensors, 2019 - mdpi.com
A wireless sensor network (WSN) is an essential component of the Internet of Things (IoTs)
for information exchange and communication between ubiquitous smart objects. Clustering …

Lifetime maximization of wireless sensor network using fuzzy based unequal clustering and ACO based routing hybrid protocol

S Arjunan, P Sujatha - Applied Intelligence, 2018 - Springer
Abstract Wireless Sensor Networks (WSN) became a key technology for a ubiquitous living
and remains an active research due to the wide range of applications. The design of energy …

Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions

A Gaddam, T Wilkin, M Angelova, J Gaddam - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) has gained significant recognition to become a novel sensing
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …

DUCF: Distributed load balancing unequal clustering in wireless sensor networks using fuzzy approach

B Baranidharan, B Santhi - Applied Soft Computing, 2016 - Elsevier
Data gathering in wireless sensor networks (WSN) consumes more energy due to large
amount of data transmitted. In direct transmission (DT) method, each node has to transmit its …