LSRR-LA: An Anisotropy-Tolerant Localization Algorithm Based on Least Square Regularized Regression for Multi-Hop Wireless Sensor Networks

As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely. However, these algorithms are easily affected by network topology, causing a significant decrease in positioning accuracy. To...

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Detalles Bibliográficos
Autores principales: Zhao, Wei, Shao, Fei, Ye, Song, Zheng, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263435/
https://www.ncbi.nlm.nih.gov/pubmed/30445789
http://dx.doi.org/10.3390/s18113974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263435/
https://www.ncbi.nlm.nih.gov/pubmed/30445789
http://dx.doi.org/10.3390/s18113974

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