The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo apresenta um método de seleção de caminhos baseado em fuzzy para melhorar o nível de segurança, no qual cada cluster escolhe caminhos com base no poder de detecção de dados falsos e na eficiência energética.
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Hae Young LEE, Tae Ho CHO, "Fuzzy-Based Path Selection Method for Improving the Detection of False Reports in Sensor Networks" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 8, pp. 1574-1576, August 2009, doi: 10.1587/transinf.E92.D.1574.
Abstract: This paper presents a fuzzy-based path selection method for improving the security level, in which each cluster chooses paths based on the detection power of false data and energy efficiency.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1574/_p
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@ARTICLE{e92-d_8_1574,
author={Hae Young LEE, Tae Ho CHO, },
journal={IEICE TRANSACTIONS on Information},
title={Fuzzy-Based Path Selection Method for Improving the Detection of False Reports in Sensor Networks},
year={2009},
volume={E92-D},
number={8},
pages={1574-1576},
abstract={This paper presents a fuzzy-based path selection method for improving the security level, in which each cluster chooses paths based on the detection power of false data and energy efficiency.},
keywords={},
doi={10.1587/transinf.E92.D.1574},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Fuzzy-Based Path Selection Method for Improving the Detection of False Reports in Sensor Networks
T2 - IEICE TRANSACTIONS on Information
SP - 1574
EP - 1576
AU - Hae Young LEE
AU - Tae Ho CHO
PY - 2009
DO - 10.1587/transinf.E92.D.1574
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2009
AB - This paper presents a fuzzy-based path selection method for improving the security level, in which each cluster chooses paths based on the detection power of false data and energy efficiency.
ER -