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
Na filtragem estatística em rota, cada nó gerador de relatório deve coletar um certo número de endossos de seus nós vizinhos. No entanto, em algum momento, um nó pode deixar de coletar um número insuficiente de endossos, uma vez que alguns de seus nós vizinhos podem ter baterias descarregadas. Esta carta apresenta um método de geração de relatórios que pode aprimorar o processo de geração de relatórios de detecção em tal situação. Os resultados da simulação mostram a eficácia do método proposto.
Jin Myoung KIM
Sungkyunkwan University
Hae Young LEE
Cheongju University
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Jin Myoung KIM, Hae Young LEE, "Node Density Loss Resilient Report Generation Method for the Statistical Filtering Based Sensor Networks" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 9, pp. 2007-2010, September 2020, doi: 10.1587/transinf.2019EDL8163.
Abstract: In the statistic en-route filtering, each report generation node must collect a certain number of endorsements from its neighboring nodes. However, at some point, a node may fail to collect an insufficient number of endorsements since some of its neighboring nodes may have dead batteries. This letter presents a report generation method that can enhance the generation process of sensing reports under such a situation. Simulation results show the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8163/_p
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@ARTICLE{e103-d_9_2007,
author={Jin Myoung KIM, Hae Young LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Node Density Loss Resilient Report Generation Method for the Statistical Filtering Based Sensor Networks},
year={2020},
volume={E103-D},
number={9},
pages={2007-2010},
abstract={In the statistic en-route filtering, each report generation node must collect a certain number of endorsements from its neighboring nodes. However, at some point, a node may fail to collect an insufficient number of endorsements since some of its neighboring nodes may have dead batteries. This letter presents a report generation method that can enhance the generation process of sensing reports under such a situation. Simulation results show the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transinf.2019EDL8163},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Node Density Loss Resilient Report Generation Method for the Statistical Filtering Based Sensor Networks
T2 - IEICE TRANSACTIONS on Information
SP - 2007
EP - 2010
AU - Jin Myoung KIM
AU - Hae Young LEE
PY - 2020
DO - 10.1587/transinf.2019EDL8163
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2020
AB - In the statistic en-route filtering, each report generation node must collect a certain number of endorsements from its neighboring nodes. However, at some point, a node may fail to collect an insufficient number of endorsements since some of its neighboring nodes may have dead batteries. This letter presents a report generation method that can enhance the generation process of sensing reports under such a situation. Simulation results show the effectiveness of the proposed method.
ER -