Optimizing Resource Utilization Using Vector Databases in Green Internet of Things

dc.contributor.authorKumari, R.
dc.contributor.authorSah, D.K.
dc.contributor.authorCengiz, K.
dc.contributor.authorNauman, A.
dc.contributor.authorIvkovi?, N.
dc.contributor.authorMihaljevi?, I.
dc.date.accessioned2024-05-19T14:34:02Z
dc.date.available2024-05-19T14:34:02Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description2023 IEEE Globecom Workshops, GC Wkshps 2023 -- 4 December 2023 through 8 December 2023 -- -- 198323en_US
dc.description.abstractWith the rapid proliferation of Internet of Things (IoT) devices and the ever-increasing volume of sensor data, optimizing resource utilization has become crucial for building sustainable and efficient IoT systems. In this study, we propose a novel approach for optimizing resource utilization in Green IoT through efficient storage and retrieval in vector databases. Our approach leverages specialized data structures, including k-d trees and ball trees, to achieve improved storage efficiency and accelerated retrieval performance for high-dimensional sensor data. We conducted extensive experiments to evaluate the effectiveness of our proposal, comparing it with traditional database approaches. The results demonstrate significant improvements in storage efficiency, with vector databases requiring considerably less storage space compared to traditional databases. Moreover, our approach enables fast and accurate retrieval of high-dimensional sensor data, reducing query times and enhancing real-time data analysis and decision-making capabilities. The technical achievements of our proposal offer promising prospects for the development of sustainable and efficient IoT systems in various domains, such as environmental monitoring, healthcare, and smart cities. Our work contributes to advancing the field of Green IoT by addressing the challenges of resource utilization and query performance through efficient storage and retrieval in vector databases. © 2023 IEEE.en_US
dc.identifier.doi10.1109/GCWkshps58843.2023.10465222
dc.identifier.endpage1993en_US
dc.identifier.isbn9798350370218
dc.identifier.scopus2-s2.0-85190267410en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1988en_US
dc.identifier.urihttps://doi.org/10.1109/GCWkshps58843.2023.10465222
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4395
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 IEEE Globecom Workshops, GC Wkshps 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectGreen Ioten_US
dc.subjectIndexing Techniquesen_US
dc.subjectResource Utilizationen_US
dc.subjectSpecialized Data Structuresen_US
dc.subjectVector Databasesen_US
dc.titleOptimizing Resource Utilization Using Vector Databases in Green Internet of Thingsen_US
dc.typeConference Objecten_US

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