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Fog-based Data Offloading in Urban IoT Scenarios

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kortoçi, Pranvera
dc.contributor.author Zheng, Liang
dc.contributor.author Joe-Wong, Carlee
dc.contributor.author Di Francesco, Mario
dc.contributor.author Chiang, Mung
dc.date.accessioned 2019-07-30T07:18:29Z
dc.date.available 2019-07-30T07:18:29Z
dc.date.issued 2019-04-01
dc.identifier.citation Kortoçi , P , Zheng , L , Joe-Wong , C , Di Francesco , M & Chiang , M 2019 , Fog-based Data Offloading in Urban IoT Scenarios . in INFOCOM 2019 - IEEE Conference on Computer Communications . , 8737503 , Proceedings - IEEE INFOCOM , vol. 2019-April , IEEE , pp. 784-792 , IEEE Conference on Computer Communications , Paris , France , 29/04/2019 . https://doi.org/10.1109/INFOCOM.2019.8737503 en
dc.identifier.isbn 9781728105154
dc.identifier.issn 0743-166X
dc.identifier.other PURE UUID: 996c4d7b-3370-464b-9f03-1cc3bd730f92
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/996c4d7b-3370-464b-9f03-1cc3bd730f92
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85068219779&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/35329446/SCI_Kortoci_Di_Francesco_Fog_Based_Data_infocom_2019_kortoci_camera_ready.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/39468
dc.description.abstract Urban environments are a particularly important application scenario for the Internet of Things (IoT). These environments are usually dense and dynamic; in contrast, IoT devices are resource-constrained, thus making reliable data collection and scalable coordination a challenge. This work leverages the fog networking paradigm to devise a multi-tier data offloading protocol suitable for diverse data-centric applications in urban IoT scenarios. Specifically, it takes advantage of heterogeneity in the network so that sensors can collaboratively offload data to each other or to mobile gateways. Second, it evaluates the performance of this offloading process through the amount of data successfully reported to the cloud. In detail, it provides an analytical characterization of data drop-off rates as a random process and derives a light-weight yet efficient method for collaborative data offloading. Finally, it shows that the proposed fog-based solution significantly decreases the data drop-off rate through both analysis and extensive trace-driven simulations based on human mobility data from real urban settings. en
dc.format.extent 9
dc.format.extent 784-792
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof IEEE Conference on Computer Communications en
dc.relation.ispartofseries INFOCOM 2019 - IEEE Conference on Computer Communications en
dc.relation.ispartofseries Proceedings - IEEE INFOCOM en
dc.relation.ispartofseries Volume 2019-April en
dc.rights openAccess en
dc.title Fog-based Data Offloading in Urban IoT Scenarios en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Professorship Di Francesco Mario
dc.contributor.department Princeton University
dc.contributor.department Carnegie Mellon University
dc.contributor.department Purdue University
dc.contributor.department Department of Computer Science en
dc.subject.keyword collaborative offloading
dc.subject.keyword data drop-off rate
dc.subject.keyword Fog networking
dc.subject.keyword Internet of Things
dc.identifier.urn URN:NBN:fi:aalto-201907304523
dc.identifier.doi 10.1109/INFOCOM.2019.8737503
dc.type.version acceptedVersion

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