Titre :

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

Auteur(s) :

Nevat, Ido [Auteur]
Institute for Infocomm Research - I²R [Singapore]
Peters, Gareth W. [Auteur]
University College of London [London] [UCL]
Septier, Francois [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Institut TELECOM/TELECOM Lille1
Matsui, Tomoko [Auteur]

Titre de la manifestation scientifique :

IEEE International Conference on Communications (ICC)

Ville :

London

Pays :

Royaume-Uni

Date de début de la manifestation scientifique :

2015-06-08

Date de publication :

2015-06-08

Mot(s)-clé(s) en anglais :

Kernel methods
imperfect communication channels.
Gaussian processes
Wireless sensor networks
Detection

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

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 ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL