Modeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications

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dc.authorscopusid58538474300
dc.authorscopusid58537997800
dc.authorscopusid58538800000
dc.authorscopusid57204831485
dc.authorscopusid24825546500
dc.authorscopusid24470047300
dc.contributor.authorOlcay, K.
dc.contributor.authorTaparci, E.
dc.contributor.authorAkmandor, M.O.
dc.contributor.authorKabakulak, B.
dc.contributor.authorSarioglu, B.
dc.contributor.authorGokdel, Y.D.
dc.date.accessioned2024-07-18T20:17:24Z
dc.date.available2024-07-18T20:17:24Z
dc.date.issued2023
dc.description8th International Conference on Smart and Sustainable Technologies, SpliTech 2023 -- 20 June 2023 through 23 June 2023 -- Hybrid, Split/Bol -- 191291en_US
dc.description.abstractWireless Sensor Networks (WSNs) consist of low cost and energy small electronic devices such as sensors, actuators, routers and gateways. A WSN can sense various type of data, such as temperature, humidity, pH.. etc, with the sensors scattered on an agricultural region and collect the data at a cloud database via multi-hop data transmission routes. The number of periods that a WSN operates is the network lifetime which strongly depends on the limited battery energy of the devices. Hence, in order to prolong the lifetime, we propose a centralized mathematical model which deploys minimum number of devices within limited budget, efficiently utilizes the device battery by planning their active/sleep schedules and determining the minimum energy consuming data flow paths towards the cloud. We also realized the proposed model on hardware level using low power embedded system architectures. © 2023 University of Split, FESB.en_US
dc.description.sponsorshipIstanbul Bilgi University RDI; Turkish Scientific and Research Council; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (121N489)en_US
dc.identifier.doi10.23919/SpliTech58164.2023.10193646
dc.identifier.isbn978-953290128-3
dc.identifier.scopus2-s2.0-85168105832en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.23919/SpliTech58164.2023.10193646
dc.identifier.urihttps://hdl.handle.net/11411/6516
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 8th International Conference on Smart and Sustainable Technologies, SpliTech 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnergy Efficiencyen_US
dc.subjectInternet Of Thingsen_US
dc.subjectMathematical Programmingen_US
dc.subjectNarrow-Band Communicationen_US
dc.subjectOptimizationen_US
dc.subjectSensor Networksen_US
dc.subjectBudget Controlen_US
dc.subjectData Transferen_US
dc.subjectElectric Batteriesen_US
dc.subjectGateways (Computer Networks)en_US
dc.subjectInternet Of Thingsen_US
dc.subjectLow Power Electronicsen_US
dc.subjectMathematical Programmingen_US
dc.subjectWireless Sensor Networksen_US
dc.subjectCloud Databaseen_US
dc.subjectElectronics Devicesen_US
dc.subjectLow Poweren_US
dc.subjectLow-Costsen_US
dc.subjectLower Energiesen_US
dc.subjectNarrow Band Communicationsen_US
dc.subjectOptimisationsen_US
dc.subjectSensor/Actuatoren_US
dc.subjectSensors Networken_US
dc.subjectTemperature/ Humiditiesen_US
dc.subjectEnergy Efficiencyen_US
dc.titleModeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications
dc.typeConference Object

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