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Historical Building Monitoring Using an Energy-Efficient Scalable Wireless Sensor Network Architecture

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Historical Building Monitoring Using an Energy-Efficient Scalable Wireless Sensor Network Architecture

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dc.contributor.author Capella Hernández, Juan Vicente es_ES
dc.contributor.author Perles Ivars, Ángel Francisco es_ES
dc.contributor.author Bonastre Pina, Alberto Miguel es_ES
dc.contributor.author Serrano Martín, Juan José es_ES
dc.date.accessioned 2013-05-14T08:24:37Z
dc.date.available 2013-05-14T08:24:37Z
dc.date.issued 2011
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/28808
dc.description.abstract We present a set of novel low power wireless sensor nodes designed for monitoring wooden masterpieces and historical buildings, in order to perform an early detection of pests. Although our previous star-based system configuration has been in operation for more than 13 years, it does not scale well for sensorization of large buildings or when deploying hundreds of nodes. In this paper we demonstrate the feasibility of a cluster-based dynamic-tree hierarchical Wireless Sensor Network (WSN) architecture where realistic assumptions of radio frequency data transmission are applied to cluster construction, and a mix of heterogeneous nodes are used to minimize economic cost of the whole system and maximize power saving of the leaf nodes. Simulation results show that the specialization of a fraction of the nodes by providing better antennas and some energy harvesting techniques can dramatically extend the life of the entire WSN and reduce the cost of the whole system. A demonstration of the proposed architecture with a new routing protocol and applied to termite pest detection has been implemented on a set of new nodes and should last for about 10 years, but it provides better scalability, reliability and deployment properties. © 2011 by the authors; licensee MDPI, Basel, Switzerland. es_ES
dc.description.sponsorship The authors gratefully acknowledge the financial support provided by CICYT research project PET-2008-0011 and AIDIMA (Furniture, Wood and Packaging Technology Institute). The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain. en_EN
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation CICYT PET-2008-0011 es_ES
dc.relation AIDIMA (Furniture, Wood and Packaging Technology Institute) es_ES
dc.relation Universitat Politecnica de Valencia, Spain es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Low-power nodes es_ES
dc.subject Moisture sensor es_ES
dc.subject Multi-hop networks es_ES
dc.subject Termites sensor es_ES
dc.subject Wireless sensor network es_ES
dc.subject Water es_ES
dc.subject Algorithm es_ES
dc.subject Animal es_ES
dc.subject Article es_ES
dc.subject Chemistry es_ES
dc.subject Cluster analysis es_ES
dc.subject Computer simulation es_ES
dc.subject Humidity es_ES
dc.subject Instrumentation es_ES
dc.subject Isoptera es_ES
dc.subject Locomotion es_ES
dc.subject Methodology es_ES
dc.subject Pest control es_ES
dc.subject Power supply es_ES
dc.subject Remote sensing es_ES
dc.subject Temperature es_ES
dc.subject Wireless communication es_ES
dc.subject Wood es_ES
dc.subject Algorithms es_ES
dc.subject Animals es_ES
dc.subject Electric Power Supplies es_ES
dc.subject Remote Sensing Technology es_ES
dc.subject Wireless Technology es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Historical Building Monitoring Using an Energy-Efficient Scalable Wireless Sensor Network Architecture es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s111110074
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Capella Hernández, JV.; Perles Ivars, ÁF.; Bonastre Pina, AM.; Serrano Martín, JJ. (2011). Historical Building Monitoring Using an Energy-Efficient Scalable Wireless Sensor Network Architecture. Sensors. 11(11):10074-10093. doi:10.3390/s111110074 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://www.mdpi.com/1424-8220/11/11/10074 es_ES
dc.description.upvformatpinicio 10074 es_ES
dc.description.upvformatpfin 10093 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 11 es_ES
dc.relation.senia 206227
dc.identifier.pmcid PMC3274272 en_EN


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