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dc.contributor.authorErdem, Huseyin Emre
dc.contributor.authorYildiz, Huseyin Ugur
dc.contributor.authorGungor, Vehbi Cagri
dc.date.accessioned2021-03-24T11:07:50Z
dc.date.available2021-03-24T11:07:50Z
dc.date.issued2019en_US
dc.identifier.issn1558-1748
dc.identifier.issn1530-437X
dc.identifier.urihttps://doi.org/10.1109/JSEN.2019.2900427
dc.identifier.urihttps://hdl.handle.net/20.500.12573/615
dc.description.abstractRecently, there has been a growing interest in academia and industry on the development of underwater acoustic sensor networks (UASNs) for scientific, commercial, and military purposes. Severe underwater channel conditions and limited battery energy of underwater nodes pose great challenges to prolong UASNs lifetime. Compressive sensing (CS), energy harvesting (EH), and transmission power control (TPC) are three promising solutions to improve UASNs lifetime. This paper aims to quantitatively investigate the joint impact of CS, EH, and TPC methods on the lifetime of UASNs. A novel Mixed Integer Programming framework is developed to maximize the network lifetime by joint consideration of CS, EH, and TPC. The performance results show that the impact of CS on the network lifetime is higher than that of EH when both methods are combined with TPC. Moreover, when all three methods are combined, the network lifetime can be extended up to three times as compared to the case when all three methods are not utilized.en_US
dc.language.isoengen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.relation.isversionof10.1109/JSEN.2019.2900427en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectunderwater sensor networksen_US
dc.subjectoptimizationen_US
dc.subjectnetwork lifetimeen_US
dc.subjectenergy harvestingen_US
dc.subjectCompressive sensingen_US
dc.titleOn the Lifetime of Compressive Sensing Based Energy Harvesting in Underwater Sensor Networksen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0002-1556-2634en_US
dc.identifier.volumeVolume: 19en_US
dc.identifier.issue12en_US
dc.identifier.startpage4680en_US
dc.identifier.endpage4687en_US
dc.relation.journalIEEE SENSORS JOURNALen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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