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https://hdl.handle.net/20.500.11851/6264
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Karakuş, Celalettin | - |
dc.contributor.author | Gürbüz, Ali Cafer | - |
dc.contributor.author | Tavlı, Bülent | - |
dc.date.accessioned | 2021-09-11T15:35:32Z | - |
dc.date.available | 2021-09-11T15:35:32Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.issn | 1530-437X | - |
dc.identifier.issn | 1558-1748 | - |
dc.identifier.uri | https://doi.org/10.1109/JSEN.2013.2244036 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6264 | - |
dc.description.abstract | Improving the lifetime of wireless sensor networks (WSNs) is directly related to the energy efficiency of computation and communication operations in the sensor nodes. Compressive sensing (CS) theory suggests a new way of sensing the signal with a much lower number of linear measurements as compared to the conventional case provided that the underlying signal is sparse. This result has implications on WSN energy efficiency and prolonging network lifetime. In this paper, the effects of acquiring, processing, and communicating CS-based measurements on WSN lifetime are analyzed in comparison to conventional approaches. Energy dissipation models for both CS and conventional approaches are built and used to construct a mixed integer programming framework that jointly captures the energy costs for computation and communication for both CS and conventional approaches. Numerical analysis is performed by systematically sampling the parameter space (i.e., sparsity levels, network radius, and number of nodes). Our results show that CS prolongs network lifetime for sparse signals and is more advantageous for WSNs with a smaller coverage area. | en_US |
dc.description.sponsorship | TUBITAK GrantTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E280]; FP7 Marie Curie IRG Grant [PIRG04-GA-2008-239506] | en_US |
dc.description.sponsorship | This work was supported in part by the TUBITAK Grant with Project 109E280 and by the FP7 Marie Curie IRG Grant with Project PIRG04-GA-2008-239506. The associate editor coordinating the review of this paper and approving it for publication was Prof. Okyay Kaynak. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Sensors Journal | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Compressive sensing (CS) | en_US |
dc.subject | energy efficiency | en_US |
dc.subject | mixed integer programming | en_US |
dc.subject | network lifetime | en_US |
dc.subject | wireless sensor networks (WSN) | en_US |
dc.title | Analysis of Energy Efficiency of Compressive Sensing in Wireless Sensor Networks | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 13 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.startpage | 1999 | en_US |
dc.identifier.endpage | 2008 | en_US |
dc.authorid | 0000-0002-9615-1983 | - |
dc.authorid | 0000-0001-8923-0299 | - |
dc.identifier.wos | WOS:000317784400006 | en_US |
dc.identifier.scopus | 2-s2.0-84876221016 | en_US |
dc.institutionauthor | Tavlı, Bülent | - |
dc.identifier.doi | 10.1109/JSEN.2013.2244036 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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