Enerji Hasadı ve Sıkıştırmalı Algılama Yapan Gizlilik Odaklı Sualtı Kablosuz Ağlarında Ömür Analizi

dc.contributor.author Uyan, Osman Gokhan
dc.contributor.author Güngör, Vehbi Çağrı
dc.date.accessioned 2025-09-25T10:37:35Z
dc.date.available 2025-09-25T10:37:35Z
dc.date.issued 2019
dc.description.abstract Underwater sensor networks (UWSN) are a division of classical wireless sensor networks (WSN), which are designed to accomplish both military and civil operations, such as invasion detection and underwater life monitoring. Underwater sensor nodes operate using the energy provided by integrated limited batteries, and it is a serious challenge to replace the battery under the water especially in harsh conditions with a high number of sensor nodes. Here, energy efficiency confronts as a very important issue. Besides energy efficiency, data privacy is another essential topic since UWSN typically generate delicate sensing data. UWSN can be vulnerable to silent positioning and listening, which is injecting similar adversary nodes into close locations to the network to sniff transmitted data. In this paper, we discuss the usage of compressive sensing (CS) and energy harvesting (EH) to improve the lifetime of the network whilst we suggest a novel encryption decision method to maintain privacy of UWSN. We also deploy a Mixed Integer Programming (MIP) model to optimize the encryption decision cases which leads to an improved network lifetime. © 2020 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1109/SIU.2019.8806241
dc.identifier.isbn 9781728119045
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85071976801
dc.identifier.uri https://doi.org/10.1109/SIU.2019.8806241
dc.identifier.uri https://hdl.handle.net/20.500.12573/2976
dc.identifier.uri https://doi.org/10.1109/siu.2019.8806241
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof -- 27th Signal Processing and Communications Applications Conference, SIU 2019 -- Sivas -- 151073 en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Compressive Sensing en_US
dc.subject Energy Harvesting en_US
dc.subject Lifetime en_US
dc.subject Optimization en_US
dc.subject Privacy en_US
dc.subject Compressed Sensing en_US
dc.subject Cryptography en_US
dc.subject Data Privacy en_US
dc.subject Electric Batteries en_US
dc.subject Energy Efficiency en_US
dc.subject Integer Programming en_US
dc.subject Optimization en_US
dc.subject Sensor Nodes en_US
dc.subject Compressive Sensing en_US
dc.subject Decision Method en_US
dc.subject Lifetime en_US
dc.subject Lifetime Analysis en_US
dc.subject Mixed Integer Programming Model en_US
dc.subject Network Lifetime en_US
dc.subject Underwater Sensor Networks en_US
dc.subject Underwater Sensors en_US
dc.subject Energy Harvesting en_US
dc.title Enerji Hasadı ve Sıkıştırmalı Algılama Yapan Gizlilik Odaklı Sualtı Kablosuz Ağlarında Ömür Analizi en_US
dc.title.alternative Lifetime Analysis of Underwater Wireless Networks Concerning Privacy with Energy Harvesting and Compressive Sensing en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.author.scopusid 10739803300
gdc.author.wosid Uyan, Gökhan/AAG-2508-2019
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gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Uyan] Osman Gokhan, Department of Electrical & Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Güngör] Vehbi Çağrı, Department of Electrical & Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 4
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