Fog-based Data Offloading in Urban IoT Scenarios

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Princeton University
  • Carnegie Mellon University
  • Purdue University

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoINFOCOM 2019 - IEEE Conference on Computer Communications
TilaJulkaistu - 1 huhtikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE Conference on Computer Communications - Paris, Ranska
Kesto: 29 huhtikuuta 20192 toukokuuta 2019

Julkaisusarja

NimiProceedings - IEEE INFOCOM
Vuosikerta2019-April
ISSN (painettu)0743-166X

Conference

ConferenceIEEE Conference on Computer Communications
LyhennettäINFOCOM
MaaRanska
KaupunkiParis
Ajanjakso29/04/201902/05/2019

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