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Conference papers
Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors
Abstract : We develop a new algorithm for spatial field reconstruction in heterogeneous (mixed analog & digital sen- sors) 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.
https://hal-imt.archives-ouvertes.fr/hal-01144851
Contributor : François Septier Connect in order to contact the contributor
Submitted on : Wednesday, April 22, 2015 - 7:30:21 PM
Last modification on : Monday, September 20, 2021 - 11:38:27 AM
Contributor : François Septier Connect in order to contact the contributor
Submitted on : Wednesday, April 22, 2015 - 7:30:21 PM
Last modification on : Monday, September 20, 2021 - 11:38:27 AM
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