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

Результат исследований: Материалы для журнала

1 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Номер статьи072016
ЖурналJournal of Physics: Conference Series
Том1065
Номер выпуска7
DOI
СостояниеОпубликовано - 13 ноя 2018
Событие22nd World Congress of the International Measurement Confederation, IMEKO 2018 - Belfast, Великобритания
Продолжительность: 3 сен 20186 сен 2018

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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