Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors

Ido Nevat 1 Gareth W. Peters 2 François Septier 3, 4, 5 Tomoko Matsui 6
1 Institute for Infocomm Research - I²R [Singapore]
2 Department of Statistical Science, University College of London
3 Institut TELECOM/TELECOM Lille1
4 LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
5 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
6 ISM - Department of Statistical Modeling, Institute of Statistical Mathematics
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.
Keywords : Kernel methods imperfect communication channels. Gaussian processes Wireless sensor networks Detection
Document type :
Conference papers
Complete list of metadatas
https://hal-imt.archives-ouvertes.fr/hal-01144851
Contributor : François Septier <>
Submitted on : Wednesday, April 22, 2015 - 7:30:21 PM
Last modification on : Thursday, October 17, 2019 - 12:35:47 PM

Identifiers

  • HAL Id : hal-01144851, version 1

Collections

INSTITUT-TELECOM | CNRS | LAGIS | CRISTAL-SIGMA | IMT-LILLE-DOUAI | CRISTAL | UNIV-LILLE

Citation

Ido Nevat, Gareth W. Peters, François Septier, Tomoko Matsui. Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors. IEEE International Conference on Communications (ICC), Jun 2015, London, United Kingdom. ⟨hal-01144851⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

237

Contact

Informations

CCSD