Adaptive Video Streaming in Hybrid Landslide Detection System with D-S Theory

Zhi Liu, Kenji Kanai, Masaru Takeuchi, Toshitaka Tsuda, Hiroshi Watanabe

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509065172
DOI
出版ステータスPublished - 2017 6 12
イベント2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 - Hong Kong, China
継続期間: 2017 5 292017 5 31

Other

Other2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
国/地域China
CityHong Kong
Period17/5/2917/5/31

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用

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