Songyut Phoemphon

Orcid: 0009-0008-6456-7512

According to our database1, Songyut Phoemphon authored at least 12 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Improved Distance Estimation Method With Adaptive Fitness Function Constraints Based on Density and Connectivity in WSN Localization Scenarios.
IEEE Access, 2026

2024
An enhanced node segmentation and distance estimation scheme with a reduced search space boundary and improved PSO for obstacle-aware wireless sensor network localization.
J. Netw. Comput. Appl., January, 2024

Distance Estimation Using the Relative Densities and Connectivity of Sensor Nodes for Wireless Sensor Network Localization.
IEEE Access, 2024

Grouping and Reflection of the Artificial Bee Colony Algorithm for High-Dimensional Numerical Optimization Problems.
IEEE Access, 2024

2021
An energy-efficient fuzzy-based scheme for unequal multihop clustering in wireless sensor networks.
J. Ambient Intell. Humaniz. Comput., 2021

Improved distance estimation with node selection localization and particle swarm optimization for obstacle-aware wireless sensor networks.
Expert Syst. Appl., 2021

2020
A hybrid localization model using node segmentation and improved particle swarm optimization with obstacle-awareness for wireless sensor networks.
Expert Syst. Appl., 2020

2018
An enhanced wireless sensor network localization scheme for radio irregularity models using hybrid fuzzy deep extreme learning machines.
Wirel. Networks, 2018

Fuzzy Weighted Centroid Localization With Virtual Node Approximation in Wireless Sensor Networks.
IEEE Internet Things J., 2018

A hybrid model using fuzzy logic and an extreme learning machine with vector particle swarm optimization for wireless sensor network localization.
Appl. Soft Comput., 2018

Optimized Hop Angle Relativity for DV-Hop Localization in Wireless Sensor Networks.
IEEE Access, 2018

2017
A novel energy-efficient clustering protocol with area coverage awareness for wireless sensor networks.
Peer-to-Peer Netw. Appl., 2017


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