Name
Abstract | ||
|---|---|---|
We present a low complexity experimental RF-based indoor localization system based on the collection and processing of WiFi RSSI signals and processing using a RSS-based multi-lateration algorithm to determine a robotic mobile node's location. We use a real indoor wireless testbed called w-iLab.t that is deployed in Zwijnaarde, Ghent, Belgium. One of the unique attributes of this testbed is that it provides tools and interfaces using Global Environment for Network Innovations (GENI) project to easily create reproducible wireless network experiments in a controlled environment. We provide a low complexity algorithm to estimate the location of the mobile robots in the indoor environment. In addition, we provide a comparison between some of our collected measurements with their corresponding location estimation and the actual robot location. The comparison shows an accuracy between 0.65 and 5 meters. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SYSCON.2016.7490652 | 2016 ANNUAL IEEE SYSTEMS CONFERENCE (SYSCON) |
Keywords | DocType | Volume |
RF-based indoor localization, RSS-based lateration algorithm, Wireless Networks testbeds, Field measurements, GENI | Journal | abs/1511.08936 |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Abdel-Hadi | 1 | 265 | 24.34 |
| Felipe Rechia | 2 | 0 | 0.34 |
| Arvind Narayanan | 3 | 2742 | 151.72 |
| Thiago Teixeira | 4 | 5 | 2.81 |
| Ricardo Lent | 5 | 435 | 35.35 |
| Driss Benhaddou | 6 | 55 | 13.00 |
| Hyun-Woo Lee | 7 | 162 | 43.02 |
| T. Charles Clancy | 8 | 1629 | 111.59 |