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Impact of the quality of spatial 3D city models on sensor networks placement optimization / M. Argany in Geomatica, vol 66 n° 4 (December 2012)  

Public [article]  inGeomatica > vol 66 n° 4 (December 2012) . - pp 291 - 305 Titre : Impact of the quality of spatial 3D city models on sensor networks placement optimization Type de document : Article/Communication Auteurs : M. Argany, Auteur ; Mir Abolfazl Mostafavi, Auteur ; V. Akbarzadeh, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 291 - 305 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] capteur terrestre [Termes IGN] données localisées dynamiques [Termes IGN] milieu urbain [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] optimisation (mathématiques) [Termes IGN] qualité des données [Termes IGN] réseau de capteurs [Termes IGN] surveillance Résumé : (Auteur) Sensor networks are increasingly used for tracking, monitoring, and observing spatial dynamic phenomena in the real world (e.g. urban area). In order to ensure an efficient deployment of a sensor network, several optimization algorithms have been proposed in recent years. Most of these algorithms often rely on oversimplified sensor models. In addition, they do not consider information on the terrain topography, city models, and the presence of diverse obstacles in the sensing area (e.g. buildings, trees, poles). Only some of those optimization algorithms attempt to consider the terrain information in the optimization of a sensor network deployment. However, most of these algorithms consider that the spatial models used for this purpose are perfect representations of the reality and are not sensitive to the quality of the information. However, spatial models are simplified representations of a complex reality, and hence are inherently uncertain. In this paper we will investigate the impact of the spatial data quality on the optimization of a sensor network and its spatial coverage in an urban area. For this purpose, we will investigate specific implications of spatial data quality criteria for a 3D city model that will be used in sensor network optimization algorithms. Then, we will analyze the impact of some of those criteria on the estimation of sensor network coverage. Afterwards, a case study for sensor network deployment in an urban area will be presented. This case study will demonstrate the impact of 3D city models quality on the estimation of coverage using global and local optimization algorithms. Finally, the results obtained from this experimentation will be presented and discussed. Numéro de notice : A2012-657 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.5623/cig2012-055 En ligne : https://doi.org/10.5623/cig2012-055 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32103 [article]

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