Name
Abstract | ||
|---|---|---|
A new approach exploits existing Wi-Fi infrastructure to extract unique Wi-Fi signal patterns from the smartphones of people in lines to estimate wait times. The approach can work under real-world queue scenarios in various environments without requiring a specialized infrastructure or incurring manpower overhead. Furthermore, it only requires that a small fraction of people waiting in line use Wi-Fi on their smartphones. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MPRV.2014.28 | IEEE Pervasive Computing |
Keywords | Field | DocType |
IEEE 802.11 Standards,Monitoring,Smart phones,Pervasive computing,Transportation,Sensors,Queueing analysis | Computer science,Queue,Computer network,Exploit,Ubiquitous computing | Journal |
Volume | Issue | ISSN |
13 | 2 | 1536-1268 |
Citations | PageRank | References |
2 | 0.39 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Wang | 1 | 811 | 40.19 |
| Yingying Chen | 2 | 2495 | 193.14 |
| Richard P. Martin | 3 | 1777 | 165.29 |