Name
Title | ||
|---|---|---|
Private Rendezvous-based Calibration of Low-Cost Sensors for Participatory Environmental Sensing. |
Abstract | ||
|---|---|---|
Ever-connected smart phones and advanced sensors have lead to new sensing paradigms that promise environmental monitoring in unprecedented spatio-temporal resolution. Especially in air quality sensing with low-cost sensors, regular in-situ device calibration is a helpful approach to ensure data quality. In participatory sensing scenarios, privacy implications arise, as personal sensor data, time and location need to be exchanged. We present a novel privacy-preserving multi-hop sensor calibration scheme that combines Private Proximity Testing and an anonymizing MIX network with cross-sensor calibration based on sensor rendezvous. Our evaluation with simulated ozone measurements and real-world taxicab mobility traces shows that our scheme provides privacy protection while maintaining competitive overall data quality in dense participatory sensing networks. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2962735.2962754 | Urb-IoT |
Keywords | DocType | Citations |
Location Privacy,Sensor Calibration,Mobile Sensing,Citizen Science,Air Pollution | Conference | 3 |
PageRank | References | Authors |
0.40 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan-Frederic Markert | 1 | 3 | 0.40 |
| Matthias Budde | 2 | 175 | 23.08 |
| Gregor Schindler | 3 | 3 | 0.40 |
| Markus Klug | 4 | 3 | 0.40 |
| M. Beigl | 5 | 2034 | 311.09 |