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dc.contributor.author | Martinez, Juan![]() |
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dc.contributor.author | MEJIA MUÑOZ, JOSE MANUEL![]() |
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dc.contributor.author | MEDEROS MADRAZO, BORIS JESUS![]() |
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dc.contributor.author | OCHOA ORTIZ, CARLOS ALBERTO![]() |
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dc.contributor.author | CRUZ MEJIA, OLIVERIO![]() |
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dc.contributor.author | MARMOLEJO SAUCEDO, JOSE ANTONIO![]() |
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dc.creator | Martinez, Juan;#0000-0002-7306-2937 | |
dc.creator | MEJIA MUÑOZ, JOSE MANUEL; 240661 | |
dc.creator | MEDEROS MADRAZO, BORIS JESUS; 292594 | |
dc.creator | OCHOA ORTIZ, CARLOS ALBERTO; 88247 | |
dc.creator | CRUZ MEJIA, OLIVERIO; 36009 | |
dc.creator | MARMOLEJO SAUCEDO, JOSE ANTONIO; 174160 | |
dc.date.accessioned | 2020-02-24T18:46:37Z | |
dc.date.available | 2020-02-24T18:46:37Z | |
dc.date.issued | 2019-06-07 | |
dc.identifier.issn | 1022-0038 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/105782 | |
dc.description | ARTICULO DE INVESTIGACION IDEXADO EN JCR CON FACTOR DE IMPACTO 2.4 | es |
dc.description.abstract | In this research, we present a data recovery scheme for wireless sensor networks. In some sensor networks, each node must be able to recover the complete information of the network, which leads to the problem of the high cost of energy in communication and storage of information. We proposed a modified gossip algorithm for acquire distributed measurements and communicate the information across all nodes of the network using compressive sampling and Gossip algorithms to compact the data to be stored and transmitted through a network. The experimental results on synthetic data show that the proposed method reconstruct better the signal and in less iterations than with a similar method using a thresholding algorithm. | es |
dc.language.iso | eng | es |
dc.publisher | Springer Nature | es |
dc.rights | openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | Gossip algorithms | es |
dc.subject | Compressive sampling | es |
dc.subject | Sensor networks | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | |
dc.title | Compress sensing algorithm for estimation of signals in sensor networks | es |
dc.type | Artículo | es |
dc.provenance | Científica | es |
dc.road | Verde | es |
dc.organismo | Unidad Académica Profesional Nezahualcóyotl | es |
dc.ambito | Internacional | es |
dc.cve.CenCos | 31101 | es |
dc.cve.progEstudios | 42 | es |
dc.modalidad | Artículo especializado para publicar en revista indizada | es |
dc.audience | students | es |
dc.audience | researchers | es |
dc.type.conacyt | article | |
dc.identificator | 7 | |
dc.relation.doi | https://doi.org/10.1007/s11276-019-02031-5 |