Cargando…
An Optimized Node Deployment Solution Based on a Virtual Spring Force Algorithm for Wireless Sensor Network Applications
How to effectively deploy all wireless sensors and save a system’s energy consumption is a key issue in current wireless sensor network (WSN) applications. Theoretical analysis has proven that a hexagonal structure is the best topology in the two-dimensional network, which can provide the maximum co...
Autores principales: | Deng, Xiaohua, Yu, Zhiyong, Tang, Rongxin, Qian, Xin, Yuan, Kai, Liu, Shiyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515534/ https://www.ncbi.nlm.nih.gov/pubmed/30995778 http://dx.doi.org/10.3390/s19081817 |
Ejemplares similares
-
Investigation of Parameter Effects on Virtual-Spring-Force Algorithm for Wireless-Sensor-Network Applications
por: Yu, Zhiyong, et al.
Publicado: (2019) -
A Hybrid Optimization from Two Virtual Physical Force Algorithms for Dynamic Node Deployment in WSN Applications
por: Li, Qiang, et al.
Publicado: (2019) -
Node Deployment Optimization for Wireless Sensor Networks Based on Virtual Force-Directed Particle Swarm Optimization Algorithm and Evidence Theory
por: Wu, Liangshun, et al.
Publicado: (2022) -
Fruchterman–Reingold Hexagon Empowered Node Deployment in Wireless Sensor Network Application
por: Li, Jiahao, et al.
Publicado: (2022) -
Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and robot collaboration
por: Zhang, Yangmei, et al.
Publicado: (2023)