Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring; Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Détails bibliographiques
Parent link:Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).— 2015.— [P. 293-297]
Auteur principal: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Collectivité auteur: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра компьютерных измерительных систем и метрологии (КИСМ)
Autres auteurs: Khudonogova L. I. Ludmila Igorevna
Résumé:Title screen
In wireless sensor networks (WSNs) for ecological monitoring, sensing performance degrades over time due to harsh environmental conditions or battery depletion. Calibration of multisensors requires extra temporal, financial or energy resources. In order to enhance an accuracy of the multisensor measurements, we propose an approach based on interval voting in form of preference aggregation. The approach allows to determine a corrected value of a measured parameter, lying within narrow uncertainty bounds, on the basis of inaccurate measurement data, obtained from neighboring multisensors. Simulation results have shown that the proposed approach allows to achieve considerably better accuracy comparatively to other known interval voting techniques.
Режим доступа: по договору с организацией-держателем ресурса
Langue:anglais
Publié: 2015
Sujets:
Accès en ligne:http://dx.doi.org/10.1109/ICUMT.2015.7382445
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648457

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330 |a In wireless sensor networks (WSNs) for ecological monitoring, sensing performance degrades over time due to harsh environmental conditions or battery depletion. Calibration of multisensors requires extra temporal, financial or energy resources. In order to enhance an accuracy of the multisensor measurements, we propose an approach based on interval voting in form of preference aggregation. The approach allows to determine a corrected value of a measured parameter, lying within narrow uncertainty bounds, on the basis of inaccurate measurement data, obtained from neighboring multisensors. Simulation results have shown that the proposed approach allows to achieve considerably better accuracy comparatively to other known interval voting techniques. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
463 |t Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)  |o 7th International Congress, Czech Republic, Brno, 6-8 October , 2015  |o [proceedings]  |v [P. 293-297]  |d 2015 
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