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dc.contributorOrtega, Antonio
dc.contributor.authorPérez Trufero, Javier
dc.date.accessioned2011-01-26T10:40:52Z
dc.date.available2011-01-26T10:40:52Z
dc.date.issued2010-07
dc.identifier.urihttp://hdl.handle.net/2099.1/10831
dc.descriptionProjecte final de carrera fet en col.laboració amb University of Southern California
dc.descriptionPremi Càtedra Red.es en l’Àrea de Sistemes de la Informació al millor Projecte de Fi de Carrera d'Enginyeria de Telecomunicació. Atorgat per Càtedra Red.es. (Curs 2010-2011)
dc.description.abstractThis thesis presents several contributions in the field of distributed spatial compression inWireless Sensor Networks. First, since in most of the spatial compression schemes some nodes (raw nodes) need to broadcast their raw data to allow other nodes (aggregating nodes) to perform compression, we design several distributed heuristics which, via local communications, split the nodes into raw/aggregating subsets and optimize the amount of energy consumed in the network. We also extend previous work in the use of graph-based lifting transforms for data compression in distributed data gathering applications, to networks with more than one sink, and scenarios where all data has to be available at every node. Additionally, under the scope of these contributions, we design a new energy-efficient multicast routing algorithm, which is based on the minimum Steiner tree and exploits the broadcast property of wireless communications. We prove via computer-based simulations that our methods reduce the energy consumption in the network in comparison with existing approaches.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subject.lcshSensor networks
dc.subject.otherSpatial compression
dc.subject.otherWireless Sensor Networks
dc.titleContributions to Distributed Spatial Compression in Wireless Sensor Networks
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacXarxes de sensors
dc.description.awardwinningAward-winning
dc.rights.accessOpen Access
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona
dc.audience.degreeENGINYERIA DE TELECOMUNICACIÓ (Pla 1992)
dc.contributor.covenanteeUniversity of Southern California


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