Wind storm estimation using a heterogeneous sensor network with high and low resolution sensors

Ido Nevat, Gareth W. Peters, François Septier, Tomoko Matsui

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

1 Citation (Scopus)

Abstract

We develop a new algorithm for spatial field reconstruction in heterogeneous (mixed analog & digital sensors) wireless sensor networks (WSNs). We consider spatial physical phenomena which are observed by a heterogeneous WSN, meaning that it is partially consists of sparsely deployed high-quality sensors and partially of low-quality sensors. The high-quality sensors transmit their (continuous) noisy observations to the Fusion Centre (FC), while the low-quality sensors first perform a simple thresholding operation and then transmit their binary values over imperfect wireless channels to the FC. We develop a novel algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation. We then present comprehensive study of the performance gain that can be obtained by augmenting the high-quality sensors with low-quality sensors using real data of insurance storm surge database known as the Extreme Wind Storms Catalogue.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications (ICC)
PublisherIEEE
Pages4865-4870
Number of pages6
ISBN (Electronic)9781467364324
DOIs
Publication statusPublished - 10 Sep 2015
Event2015 IEEE International Conference on Communications - London, London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameInternational Conference on Communications (ICC)
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

Conference2015 IEEE International Conference on Communications
Abbreviated titleICC 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

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  • Cite this

    Nevat, I., Peters, G. W., Septier, F., & Matsui, T. (2015). Wind storm estimation using a heterogeneous sensor network with high and low resolution sensors. In 2015 IEEE International Conference on Communications (ICC) (pp. 4865-4870). (International Conference on Communications (ICC)). IEEE. https://doi.org/10.1109/ICC.2015.7249093