K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

AM Ikotun, AE Ezugwu, L Abualigah, B Abuhaija… - Information …, 2023 - Elsevier
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

[HTML][HTML] Machine learning in wireless sensor networks for smart cities: a survey

H Sharma, A Haque, F Blaabjerg - Electronics, 2021 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …

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 …

Review on clustering, coverage and connectivity in underwater wireless sensor networks: A communication techniques perspective

DN Sandeep, V Kumar - IEEE Access, 2017 - ieeexplore.ieee.org
With a wide scope to explore and harness the oceanic sources of interest, the field of
underwater wireless sensor networks (UWSNs) is attracting a growing interest of …

Exposure, health effects, sensing, and remediation of the emerging PFAS contaminants–Scientific challenges and potential research directions

EM Bell, S De Guise, JR McCutcheon, Y Lei… - Science of the Total …, 2021 - Elsevier
Per-and polyfluoroalkyl substances (PFAS) make up a large group of persistent
anthropogenic chemicals which are difficult to degrade and/or destroy. PFAS are an …

Value-based hierarchical information collection for AUV-enabled Internet of Underwater Things

R Duan, J Du, C Jiang, Y Ren - IEEE internet of things journal, 2020 - ieeexplore.ieee.org
The Internet of Underwater Things (IoUT) shows great potential in realizing the smart ocean.
Underwater acoustic sensor networks (UWASNs) are the main existing form of IoUT but face …

A data aggregation approach exploiting spatial and temporal correlation among sensor data in wireless sensor networks

L Dash, BK Pattanayak, SK Mishra, KS Sahoo… - Electronics, 2022 - mdpi.com
Wireless sensor networks (WSNs) have various applications which include zone
surveillance, environmental monitoring, event tracking where the operation mode is long …

A clustering routing algorithm based on improved ant colony optimization algorithms for underwater wireless sensor networks

X Xiao, H Huang - Algorithms, 2020 - mdpi.com
Because of the complicated underwater environment, the efficiency of data transmission
from underwater sensor nodes to a sink node (SN) is faced with great challenges. Aiming at …

Underwater wireless sensor networks: An energy-efficient clustering routing protocol based on data fusion and genetic algorithms

X Xiao, H Huang, W Wang - Applied Sciences, 2020 - mdpi.com
Due to the limited battery energy of underwater wireless sensor nodes and the difficulty in
replacing or recharging the battery underwater, it is of great significance to improve the …

[HTML][HTML] Data aggregation in underwater wireless sensor network: Recent approaches and issues

N Goyal, M Dave, AK Verma - Journal of King Saud University-Computer …, 2019 - Elsevier
Abstract Underwater Wireless Sensor Network (UWSN) technology is widely used in various
underwater monitoring and exploration applications and has proven its high stature. Since …