Abstract
Disaster detection is an important research topic and draws great attentions from both industry and academia. In this paper, we study the hybrid landslide detection system, which utilizes the video surveillance camera and multiple kinds of sensors and can detect the landslide automatically. Edge processing is adopted in this hybrid system to fuse the sensor data based on the Dempster-Shafer (D-S) theory, i.e. utilizing multiple sensors' information to calculate the possibility of the landslide. Edge processing can make faster decisions than the control center, the results of the edge processing are then used to schedule the sensor's transmission frequency and video transmission under the network constraints in this system. The simulation results show that the proposed scheme outperforms the competing schemes in typical network scenarios.
Original language | English |
---|---|
Title of host publication | 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509065172 |
DOIs | |
Publication status | Published - 2017 Jun 12 |
Event | 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 - Hong Kong, China Duration: 2017 May 29 → 2017 May 31 |
Other
Other | 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 |
---|---|
Country/Territory | China |
City | Hong Kong |
Period | 17/5/29 → 17/5/31 |
Keywords
- Dempster-Shafer (DS)
- disaster
- landslide
- video streaming
- WSN
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications