CRAWDAD dataset tecnalia/humanet (v. 2012-06-12)
M. Cabero, Jose;Molina, Virginia;Urteaga, Inigo;Liberal, Fidel;L. Martin, Jose
Description
Our study analyzes the limitations of Bluetooth-based trace acquisition initiatives carried out until now in terms of granularity and reliability. We then go on to propose an optimal configuration for the acquisition of proximity traces and movement information using a fine-tuned Bluetooth system based on custom HW. With this system and based on such a configuration, we have carried out an intensive human trace acquisition experiment resulting in a proximity and mobility database of more than 5 million traces with a minimumgranularity of 5 s.
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Metrics Over Time
Publication Details
Subfield
Computer Networks and Communications
Field
Computer Science
Domain
Physical Sciences
Confidence Score
53%
Source
Scholar Data Model
Keywords
Wireless NetworksSocial Network AnalysisBluetoothHuman Behavior ModelingOpportunistic ConnectivityUser Mobility Characterizationsocial network