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Proximity Graphs for Crowd Movement Sensors
2015
2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)
Sensors are now common, they span over different applications, different purposes and some over large geospatial areas. Most data produced by these sensors needs to be linked to the physical location of the sensor itself. By using the location of a sensor we can construct (mathematically) proximity graphs that have the sensors as nodes. These graphs have a wide variety of applications including visualization, packet routing, and spatial data analysis. We consider a sensor network that measures
doi:10.1109/3pgcic.2015.147
dblp:conf/3pgcic/ChilipireaPDS15a
fatcat:oyx5ejc6lngwzdgizhk33zn264