Name
Abstract | ||
|---|---|---|
Co-localization of mobile users combines methods of detecting nearby users and providing them interesting and useful services or information. By exploiting the massive use of smartphones, nearby users can be co-localized using only their captured ambient radio signals. In this paper, we propose a real-time co-localization system, in a centralized manner, that leverages co-located users with high a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JIOT.2016.2568258 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Mobile communication,Servers,Internet of things,Smart phones,IEEE 802.11 Standard,Real-time systems,Clustering algorithms | Mobile computing,Data mining,Computer science,Server,Real-time computing,Exploit,Radio frequency,Cluster analysis,Mobile telephony,Gibbs sampling,Mixture model | Journal |
Volume | Issue | ISSN |
4 | 2 | 2327-4662 |
Citations | PageRank | References |
1 | 0.35 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro M. Varela | 1 | 5 | 1.10 |
| Jihoon Hong | 2 | 1 | 0.69 |
| Tomoaki Ohtsuki | 3 | 51 | 10.95 |
| Xiaoqi Qin | 4 | 21 | 6.47 |