Optimal Deployment of Dense WSN for Error Bounded Air Pollution Mapping

Ahmed Boubrima 1 Walid Bechkit 1, 2 Hervé Rivano 1
1 URBANET - Réseaux capillaires urbains
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Air pollution has become a major issue of modern megalopolis because of industrial emissions and increasing urbanization along with traffic jams and heating/cooling of buildings. Monitoring urban air quality is therefore required by municipalities and by the civil society. Current monitoring systems rely on reference sensing stations that are precise but massive, costly and therefore seldom. In this ongoing work, we focus on an alternative or complementary approach, using a network of low cost and autonomic wireless sensors, allowing for a finer spatiotemporal granularity of air quality sensing. We tackle the optimization problem of sensor deployment and propose an integer programming model, which allows to find the optimal network topology while ensuring air quality monitoring with a high precision and the minimum financial cost. Most of existing deployment models of wireless sensor networks are generic and assume that sensors have a given detection range. This assumption does not fit pollutant concentrations sensing. Our model takes into account interpolation methods to place sensors in such a way that pollution concentration is estimated with a bounded error at locations where no sensor is deployed.
Type de document :
Communication dans un congrès
DCOSS 2016 - International Conference on Distributed Computing in Sensor Systems, May 2016, Washington, DC, United States. <http://www.dcoss.org/>
Liste complète des métadonnées


https://hal.inria.fr/hal-01315221
Contributeur : Ahmed Boubrima <>
Soumis le : jeudi 12 mai 2016 - 19:04:24
Dernière modification le : jeudi 24 novembre 2016 - 17:17:49
Document(s) archivé(s) le : mercredi 16 novembre 2016 - 03:26:28

Fichier

dcoss-final.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01315221, version 1

Collections

Citation

Ahmed Boubrima, Walid Bechkit, Hervé Rivano. Optimal Deployment of Dense WSN for Error Bounded Air Pollution Mapping. DCOSS 2016 - International Conference on Distributed Computing in Sensor Systems, May 2016, Washington, DC, United States. <http://www.dcoss.org/>. <hal-01315221>

Partager

Métriques

Consultations de
la notice

193

Téléchargements du document

112