Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops
PublisherIEEE Computer Society
Pages293-297
Number of pages5
Volume2016-January
ISBN (Print)9781467392839
DOIs
Publication statusPublished - 13 Jan 2016
Event7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015 - Brno, Czech Republic
Duration: 6 Oct 20158 Oct 2015

Other

Other7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015
CountryCzech Republic
CityBrno
Period6.10.158.10.15

Fingerprint

Wireless sensor networks
Agglomeration
Monitoring
Energy resources
Calibration
Uncertainty

Keywords

  • ecological monitoring
  • interval voting
  • Kemeny ranking
  • multisensor data fusion
  • preference aggregation
  • wireless sensor network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Muravyov, S. V., & Khudonogova, L. I. (2016). Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring. In International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (Vol. 2016-January, pp. 293-297). [7382445] IEEE Computer Society. https://doi.org/10.1109/ICUMT.2015.7382445

Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring. / Muravyov, Sergey V.; Khudonogova, Liudmila I.

International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Vol. 2016-January IEEE Computer Society, 2016. p. 293-297 7382445.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Muravyov, SV & Khudonogova, LI 2016, Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring. in International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. vol. 2016-January, 7382445, IEEE Computer Society, pp. 293-297, 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2015, Brno, Czech Republic, 6.10.15. https://doi.org/10.1109/ICUMT.2015.7382445
Muravyov SV, Khudonogova LI. Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring. In International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Vol. 2016-January. IEEE Computer Society. 2016. p. 293-297. 7382445 https://doi.org/10.1109/ICUMT.2015.7382445
Muravyov, Sergey V. ; Khudonogova, Liudmila I. / Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring. International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Vol. 2016-January IEEE Computer Society, 2016. pp. 293-297
@inproceedings{9307dc95a0d348b3aa644f28f30ce047,
title = "Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring",
abstract = "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.",
keywords = "ecological monitoring, interval voting, Kemeny ranking, multisensor data fusion, preference aggregation, wireless sensor network",
author = "Muravyov, {Sergey V.} and Khudonogova, {Liudmila I.}",
year = "2016",
month = "1",
day = "13",
doi = "10.1109/ICUMT.2015.7382445",
language = "English",
isbn = "9781467392839",
volume = "2016-January",
pages = "293--297",
booktitle = "International Congress on Ultra Modern Telecommunications and Control Systems and Workshops",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Multisensor accuracy enhancement on the base of interval voting in form of preference aggregation in WSN for ecological monitoring

AU - Muravyov, Sergey V.

AU - Khudonogova, Liudmila I.

PY - 2016/1/13

Y1 - 2016/1/13

N2 - 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.

AB - 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.

KW - ecological monitoring

KW - interval voting

KW - Kemeny ranking

KW - multisensor data fusion

KW - preference aggregation

KW - wireless sensor network

UR - http://www.scopus.com/inward/record.url?scp=84964607490&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964607490&partnerID=8YFLogxK

U2 - 10.1109/ICUMT.2015.7382445

DO - 10.1109/ICUMT.2015.7382445

M3 - Conference contribution

AN - SCOPUS:84964607490

SN - 9781467392839

VL - 2016-January

SP - 293

EP - 297

BT - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

PB - IEEE Computer Society

ER -