Name
Abstract | ||
|---|---|---|
In vehicular sensor networks, vehicles can act as mobile sensors to monitor the dynamic features of the physical world such as traffic flow, air quality, and temperature. However, the conventional full-coverage sensing approach is neither realizable nor cost-effective since the sensor-equipped vehicles are unevenly distributed and the environmental data are spatio-temporally correlated. To this en... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TITS.2018.2873112 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Sensors,Task analysis,Urban areas,Correlation,Spatiotemporal phenomena,Air quality,Compressed sensing | Data collection,Traffic flow,Simulation,Exploit,Real-time computing,Air quality index,Environmental data,Engineering,Wireless sensor network,Beijing,Compressed sensing | Journal |
Volume | Issue | ISSN |
20 | 9 | 1524-9050 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quan Yuan | 1 | 55 | 11.07 |
| Zhou, H. | 2 | 166 | 14.18 |
| Zhihan Liu | 3 | 38 | 10.06 |
| Jinglin Li | 4 | 150 | 30.39 |
| Fangchun Yang | 5 | 1082 | 90.49 |
| Xuemin Shen | 6 | 15389 | 928.67 |