A hybrid model using fuzzy logic and an extreme learning machine with vector particle swarm optimization for wireless sensor network localization

S Phoemphon, C So-In, DT Niyato - Applied Soft Computing, 2018 - Elsevier
Localization is one of the challenges in wireless sensor networks, especially those without
the aid of a global positioning system. Use of a dedicated positioning device incurs …

A hybrid localization model using node segmentation and improved particle swarm optimization with obstacle-awareness for wireless sensor networks

S Phoemphon, C So-In, N Leelathakul - Expert Systems with Applications, 2020 - Elsevier
Other than energy consumption, precision is of the utmost importance in node localization.
Various wireless-sensor-network applications require the accurate information of sensor …

Improved distance estimation with node selection localization and particle swarm optimization for obstacle-aware wireless sensor networks

S Phoemphon, C So-In, N Leelathakul - Expert Systems with Applications, 2021 - Elsevier
Sensor-node localization is among the greatest concerns in the field of wireless sensor
networks. Range-based localization techniques generally outperform range-free techniques …

Fuzzy weighted centroid localization with virtual node approximation in wireless sensor networks

S Phoemphon, C So-In… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Due to their low cost, various range-free localization techniques are widely applied to
estimate device locations in wireless sensor networks (WSNs), especially where other …

Soft computing-based localizations in wireless sensor networks

C So-In, S Permpol, K Rujirakul - Pervasive and Mobile Computing, 2016 - Elsevier
Recent advances in wireless sensor networks have been applied in a variety of applications,
including environment, healthcare, and military, based on their distinctive characteristics …

Automatic lung segmentation for large-scale medical image management

SH Chae, HM Moon, Y Chung, JH Shin… - Multimedia Tools and …, 2016 - Springer
Digital medical images assist specialists in improving their diagnostic efficiency and in
treating diseases. For example, the chest Computed Tomography (CT) images help in …

An energy-efficient LEACH algorithm for wireless sensor networks

L Mao, Y Zhang - 2017 36th Chinese Control Conference (CCC …, 2017 - ieeexplore.ieee.org
With limited battery power of nodes, communication energy consumption is the main factor
to affect the lifetime of wireless sensor networks. It is of great significance to design a …

Research on improved low-energy adaptive clustering hierarchy protocol in wireless sensor networks

Y Zhang, P Li, L Mao - Journal of Shanghai Jiaotong University (Science), 2018 - Springer
In wireless sensor networks (WSNs), due to the limited battery power of the sensor nodes,
the communication energy consumption is the main factor to affect the lifetime of the …

A study on development of engine fault diagnostic system

H Kim, S Jang, J Jang - Mathematical Problems in Engineering, 2015 - Wiley Online Library
This study implemented a mobile diagnosing system that provides user‐centered interfaces
for more precisely estimating and diagnosing engine conditions through communications …

NETorium: high-fidelity scalable wireless network emulator

K Akashi, T Inoue, S Yasuda, Y Takano… - Proceedings of the 12th …, 2016 - dl.acm.org
Wireless networks take advantage of various technologies that wired networks do not use,
such as authentication and ad hoc networks. Although it is important to verify such wireless …