SensorScope: Application-specific sensor network for environmental monitoring

By François Ingelrest, Guillermo Barrenetxea, Gunnar Schaefer, Martin Vetterli, Olivier Couach, Marc B. Parlange. TOSN, 2010

313 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b0fd389ee5d6ab1d39056d785ed8f4d973c24fbe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ying-Chang Liang
2. Dong In Kim
3. Dinh Thai Hoang
4. Dusist Niyato
5. Ping Wang
6. Shimin Gong
7. Nguyen Cong Luong
8. Rui Zhang

In Computer Vision and Pattern Recognition

1. Ying-Chang Liang
2. Dusist Niyato
3. Dinh Thai Hoang
4. Nguyen Cong Luong
5. Dong In Kim

Citations in the corpus

• Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018, methodology): “, the Sensor-Scope dataset [159] in the EPFL campus and the U-Air dataset of air quality readings in Beijing [160].”
• Threshold modeling of extreme spatial rainfall (2013, methodology): “Since 2008, it has been heavily monitored with gauging stations and a wireless network of small meteorological stations relying on Sensorscope technology (SensorScope) [Ingelrest et al., 2010].”