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
Sensores sem fio distribuídos aleatoriamente usados para monitorar e detectar um objeto em movimento foram investigados, e medidas de desempenho, como a relação esperada de detecção de tempo/espaço, foram analisadas teoricamente. Em particular, foram analisadas as insensibilidades (robustez) das medidas de desempenho às condições dos sensores sem fio distribuídos e do objeto alvo. Foram derivadas equações explícitas robustas para essas medidas de desempenho, e essas equações podem ser usadas para calculá-las sem conhecer o formato da área de detecção ou a trajetória do objeto alvo. Essas equações foram aplicadas às duas aplicações seguintes. (1) Eles foram usados para estimar o impacto dos algoritmos de programação de estado ativo/adormecido dos sensores na proporção esperada do tempo que os sensores detectam o objeto alvo durante seu movimento. Os resultados foram utilizados para identificar o cronograma de estado ativo que aumenta a proporção de tempo esperado. (2) Eles também foram aplicados a um método de projeto de densidade de sensor que utiliza um objeto de teste. Este método pode ser usado para garantir que a proporção de tempo esperada em que pelo menos um sensor pode detectar o alvo satisfaça o valor alvo sem conhecer o tamanho da área de detecção ou o movimento do objeto alvo.
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Hiroshi SAITO, Shigeo SHIODA, Junko HARADA, "Application of Insensitivity Analysis of Coverage Processes to Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 12, pp. 3937-3944, December 2008, doi: 10.1093/ietcom/e91-b.12.3937.
Abstract: Randomly distributed wireless sensors used to monitor and detect a moving object were investigated, and performance measures such as the expected time/space detection ratio were theoretically analyzed. In particular, the insensitivities (robustness) of the performance measures to the conditions of the distributed wireless sensors and the target object were analyzed. Robust explicit equations for these performance measures were derived, and these equations can be used to calculate them without knowing the sensing area shape or the target object trajectory. These equations were applied to the following two applications. (1) They were used to estimate the impact of active/sleeping state schedule algorithms of sensors on the expected ratio of the time that the sensors detect the target object during its movement. The results were used to identify the active state schedule that increases the expected time ratio. (2) They were also applied to a sensor density design method that uses a test object. This method can be used to ensure that the expected time ratio that at least one sensor can detect the target satisfies the target value without knowing the sensing area size or the movement of the target object.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.12.3937/_p
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@ARTICLE{e91-b_12_3937,
author={Hiroshi SAITO, Shigeo SHIODA, Junko HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Application of Insensitivity Analysis of Coverage Processes to Wireless Sensor Networks},
year={2008},
volume={E91-B},
number={12},
pages={3937-3944},
abstract={Randomly distributed wireless sensors used to monitor and detect a moving object were investigated, and performance measures such as the expected time/space detection ratio were theoretically analyzed. In particular, the insensitivities (robustness) of the performance measures to the conditions of the distributed wireless sensors and the target object were analyzed. Robust explicit equations for these performance measures were derived, and these equations can be used to calculate them without knowing the sensing area shape or the target object trajectory. These equations were applied to the following two applications. (1) They were used to estimate the impact of active/sleeping state schedule algorithms of sensors on the expected ratio of the time that the sensors detect the target object during its movement. The results were used to identify the active state schedule that increases the expected time ratio. (2) They were also applied to a sensor density design method that uses a test object. This method can be used to ensure that the expected time ratio that at least one sensor can detect the target satisfies the target value without knowing the sensing area size or the movement of the target object.},
keywords={},
doi={10.1093/ietcom/e91-b.12.3937},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Application of Insensitivity Analysis of Coverage Processes to Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3937
EP - 3944
AU - Hiroshi SAITO
AU - Shigeo SHIODA
AU - Junko HARADA
PY - 2008
DO - 10.1093/ietcom/e91-b.12.3937
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2008
AB - Randomly distributed wireless sensors used to monitor and detect a moving object were investigated, and performance measures such as the expected time/space detection ratio were theoretically analyzed. In particular, the insensitivities (robustness) of the performance measures to the conditions of the distributed wireless sensors and the target object were analyzed. Robust explicit equations for these performance measures were derived, and these equations can be used to calculate them without knowing the sensing area shape or the target object trajectory. These equations were applied to the following two applications. (1) They were used to estimate the impact of active/sleeping state schedule algorithms of sensors on the expected ratio of the time that the sensors detect the target object during its movement. The results were used to identify the active state schedule that increases the expected time ratio. (2) They were also applied to a sensor density design method that uses a test object. This method can be used to ensure that the expected time ratio that at least one sensor can detect the target satisfies the target value without knowing the sensing area size or the movement of the target object.
ER -