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Interval data fusion with preference aggregation in wireless sensor network: energy-accuracy trade-off in presence of outliers

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Заглавие Interval data fusion with preference aggregation in wireless sensor network: energy-accuracy trade-off in presence of outliers
 
Автор Khudonogova, Ludmila Igorevna
Muravyov (Murav’ev), Sergey Vasilyevich
 
Тематика данные
беспроводные сенсорные сети
 
Описание For balancing measurement accuracy and energy consumption in a wireless sensor network in presence of outliers it is proposed sensor accuracy enhancement algorithm SensAcc and active node selection algorithm ActiveNode based on the interval data fusion method IF&PA. The results of numerical experimental investigation of the developed algorithms are presented. It is shown that the SensAcc provides the reduction of the uncertainty of measurement result at least tenfold comparing with the uncertainty of multisensor readings under possible existence of failed nodes. Simulation results have shown the ActiveNode allows to reduce the cluster nodes energy consumption approximately threefold.
 
Дата 2020-01-20T09:42:31Z
2020-01-20T09:42:31Z
2018
 
Тип Conference Paper
Published version (info:eu-repo/semantics/publishedVersion)
Conference paper (info:eu-repo/semantics/conferencePaper)
 
Идентификатор Khudonogova L. I. Interval data fusion with preference aggregation in wireless sensor network: energy-accuracy trade-off in presence of outliers / L. I. Khudonogova, S. V. Muravyov (Murav’ev) // Journal of Physics: Conference Series. — 2018. — Vol. 1065 : International Measurement Confederation (IMEKO 2018) : XXII World Congress, 3–6 September 2018, Belfast, United Kingdom : [proceedings]. — [202005, 4 р.].
http://earchive.tpu.ru/handle/11683/57371
10.1088/1742-6596/1065/7/072016
 
Язык en
 
Связанные ресурсы Journal of Physics: Conference Series. Vol. 1065 : International Measurement Confederation (IMEKO 2018). — Bristol, 2018.
 
Права Open access (info:eu-repo/semantics/openAccess)
 
Издатель IOP Publishing