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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Archivio della Ricerca - Università di Pisa
Dataset . 2023
Data sources: Archivio della Ricerca - Università di Pisa
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Claim

DATA7: A dataset that uses synthetic trajectories of vehicles and real cellular tower locations to simulate the workload of Edge nodes in the city of Pisa

Research datakeyboard_double_arrow_right Dataset 01 Jan 2023 Italy English Publisher:ZenodoFunded by:EC | ACCORDION
Authors: Emanuele Carlini; Massimo Coppola; Patrizio Dazzi; Luca Ferrucci; Hanna Kavalionak; Matteo Mordacchini;

doi: 10.5281/zenodo.7806411 , 10.5281/zenodo.7806410 , 10.5281/zenodo.7806928

handle: 11568/1215818

DATA7: A dataset that uses synthetic trajectories of vehicles and real cellular tower locations to simulate the workload of Edge nodes in the city of Pisa

Abstract

Description The dataset contains observations of vehicles in the range of edge nodes (cellular towers). The trajectories of vehicles are synthetically generated with SUMO. The cellular tower positions have been taken from OpenCelliD. The dataset is in the comma-separated values (CSV) format, and is around 220MB decompressed. The CSV contains the following fields: * edge_id: unique identifier of the edge devices * edge_lat: latitude coordinate of the edge device * edge_lon: longitude coordinate of the edge device * time: simulation step of the observation * vehicle_id: unique identifier of the vehicle * vehicle_lat: latitude coordinate of the vehicle * vehicle_lon: longitude coordinate of the vehicle * distance: geodesic distance in meters from the vehicle and the edge device

Country
Italy
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Keywords

Mobility trajectories, Workload, Edge Computing, Pisa

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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