Uyan, Osman GokhanGüngör, Vehbi Çağrı2025-09-252025-09-2520199781728119045https://doi.org/10.1109/SIU.2019.8806241https://hdl.handle.net/20.500.12573/2976Underwater 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.trinfo:eu-repo/semantics/closedAccessCompressive SensingEnergy HarvestingLifetimeOptimizationPrivacyCompressed SensingCryptographyData PrivacyElectric BatteriesEnergy EfficiencyInteger ProgrammingOptimizationSensor NodesCompressive SensingDecision MethodLifetimeLifetime AnalysisMixed Integer Programming ModelNetwork LifetimeUnderwater Sensor NetworksUnderwater SensorsEnergy HarvestingConference Object10.1109/SIU.2019.88062412-s2.0-85071976801