Name
Abstract | ||
|---|---|---|
In this paper, we aim at answering the question "at what frequency should one sample individual human movements so that they can be reconstructed from the collected samples with minimum loss of information?". Our quest for a response unveils (i) seemingly universal spectral properties of human mobility, and (ii) a linear scaling law of the localization error with respect to the sampling interval. We conduct analyses using fine-grained GPS trajectories of 119 users worldwide. Our findings have potential applications in ubiquitous computing and mobile service design, in terms of energy efficiency, location-based service operations, active probing of subscribers' positions in mobile networks and trajectory data compression. |
Year | Venue | Field |
|---|---|---|
2017 | IEEE Global Communications Conference | Efficient energy use,Computer science,Sampling (signal processing),Service system,Mobile service,Real-time computing,Global Positioning System,Ubiquitous computing,Data compression,Trajectory |
DocType | ISSN | Citations |
Conference | 2334-0983 | 2 |
PageRank | References | Authors |
0.36 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panagiota Katsikouli | 1 | 5 | 0.77 |
| Aline Carneiro Viana | 2 | 497 | 37.11 |
| Marco Fiore | 3 | 234 | 21.89 |
| Alberto Tarable | 4 | 86 | 13.42 |