Optimal WSN Deployment Models for Air Pollution Monitoring

Autor: Hervé Rivano, Ahmed Boubrima, Walid Bechkit
Přispěvatelé: ALGorithmes et Optimisation pour Réseaux Autonomes (AGORA), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), IPL SmartCity@Inria, ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), CITI Centre of Innovation in Telecommunications and Integration of services (CITI), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)
Rok vydání: 2017
Předmět:
Pollution
Coverage
Air pollution monitoring
Computer science
Distributed computing
media_common.quotation_subject
Deployment
Air pollution
02 engineering and technology
Atmospheric model
medicine.disease_cause
Computer security
computer.software_genre
01 natural sciences
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
Urbanization
11. Sustainability
0202 electrical engineering
electronic engineering
information engineering
medicine
Wireless
Electrical and Electronic Engineering
Wireless sensor networks (WSN)
Air quality index
media_common
Connectivity
business.industry
Applied Mathematics
Atmospheric dispersion modeling
010401 analytical chemistry
020206 networking & telecommunications
0104 chemical sciences
Computer Science Applications
13. Climate action
Software deployment
Detection of threshold crossings
business
Wireless sensor network
computer
Zdroj: IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications, 2017, 16 (5), pp.2723-2735. ⟨10.1109/TWC.2017.2658601⟩
IEEE Transactions on Wireless Communications, Institute of Electrical and Electronics Engineers, 2017, 16 (5), pp.2723-2735. ⟨10.1109/TWC.2017.2658601⟩
ISSN: 1536-1276
DOI: 10.1109/twc.2017.2658601
Popis: International audience; 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 paper, we focus on an alternative or complementary approach, with a network of low cost and autonomic wireless sensors, aiming at a finer spatiotemporal granularity of sensing. Generic deployment models of the literature are not adapted to the stochastic nature of pollution sensing. Our main contribution is to design integer linear programming models that compute sensor deployments capturing both the coverage of pollution under time-varying weather conditions and the connectivity of the infrastructure. We evaluate our deployment models on a real data set of Greater London. We analyze the performance of the proposed models and show that our joint coverage and connectivity formulation is tight and compact, with a reasonable enough execution time. We also conduct extensive simulations to derive engineering insights for effective deployments of air pollution sensors in an urban environment.
Databáze: OpenAIRE
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