Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/52708
Título: | Lightweight multivariate sensing in WSNs |
Autor(es): | Silva, Joao Marco C. Carvalho, Paulo Bispo, Kalil Araujo Lima, Solange |
Palavras-chave: | Sampling techniques Data sensing Network measurements WSNs |
Data: | 2016 |
Editora: | Springer International Publishing AG |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | This paper proposes a self-adaptive sampling scheme for WSNs, which aims at capturing accurately the behavior of the physical parameters of interest in each specific WSN context yet reducing the overhead in terms of sensing events. The sampling scheme relies on a set of low-complexity rules capable of auto-regulate the sensing frequency in accordance with each parameter behavior. As proof-of-concept, based on real environmental datasets, we provide statistical indicators illustrating the added value of the proposed sampling scheme in reducing sensing events without compromising the estimation accuracy of physical phenomena. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/52708 |
ISBN: | 9783319487984 |
DOI: | 10.1007/978-3-319-48799-1_24 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ucami2016-cr-sp.pdf Acesso restrito! | 991,48 kB | Adobe PDF | Ver/Abrir |