Name
Abstract | ||
|---|---|---|
The complex way radio waves propagate indoors, leads to the derivation of location using fingerprinting techniques. In this cases, location is computed relying on WiFi signals strength mapping. Recent Bluetooth Low Energy (BLE) provides new opportunities to explore positioning. Indoor location identification plays a fundamental role as a business and personal level. At a business level, indoor location pinpointing where GPS signal is nonexistent is used to advise users and send push notifications (e.g., stores publicity, guide persons with special needs, or even for emergency evacuation). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.04.005 | Procedia Computer Science |
Keywords | Field | DocType |
beacons,wireless,GPS,indoor location,blockchain,crowd learning,Bluetooth,BLE,WiFi,fingerprinting | Push technology,Beacon,Data mining,Special needs,Emergency evacuation,Radio wave,Computer science,Real-time computing,Publicity,Proof of concept,GPS signals | Conference |
Volume | Issue | ISSN |
151 | C | 1877-0509 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Martins | 1 | 85 | 24.21 |
| Maryam Abbasi | 2 | 5 | 3.47 |
| Filipe Sá | 3 | 27 | 3.21 |
| Jose Celiclio | 4 | 0 | 0.34 |
| Francisco Morgado | 5 | 0 | 0.68 |
| Filipe Caldeira | 6 | 7 | 3.96 |