An efficient image gathering scheme with quality control in disaster

Jun Nishiyama, Saki Tabata, Hiroshi Shigeno

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Rescue teams require information about victims in need of help rapidly to improve survival rate at the time of disaster. Emergency Rescue Information Sharing System gathers and provides the information with a framework called METHANE in addition to efficient wireless link's selection using OpenFlow. However, it is difficult for those who rescue the victims except for the rescue teams to recognize detail situation of disaster area by using only METHANE information. To gather and provide the information rapidly, we introduce information about disaster area such as image information in addition to METHANE framework. However, transmission of the image information affects transmission of METHANE information in unstable network at the time of disaster. In this paper, we propose a transmission scheme using quality modification of image information. This scheme aims to gather high quality image information rapidly without affecting the transmission of METHANE information. To enable the transmission of the image information without affecting the transmission of METHANE, we distinguish flows of contents and assign different wireless links to each content. Moreover, for rapid image information gathering, we select the links dynamically based on available bandwidth and modify quality of information. Prototype demonstration shows that proposed scheme has usefulness in terms of rapid collection of low quality image information as well as slow collection of high quality image information.

本文言語English
ホスト出版物のタイトルProceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ304-311
ページ数8
ISBN(電子版)9781509060283
DOI
出版ステータスPublished - 2017 5 5
イベント31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 - Taipei, Taiwan, Province of China
継続期間: 2017 3 272017 3 29

Other

Other31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
国/地域Taiwan, Province of China
CityTaipei
Period17/3/2717/3/29

ASJC Scopus subject areas

  • 工学(全般)

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