Variant Path Multiplicity Routing Algorithm Adapted to importance of data

Hiroki Tamura, Hikaru Kobayashi, Hiromitsu Tomozawa, Hiroshi Shigeno

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Triage is a emergency life-saving process to prioritize patients based on severity of their condition in disasters. Triage has been introduced to medical treatment scenes in recent years. In Triage, patients are classified into 4 groups according to their priority based on their condition. Researches of emergency life-saving systems to monitor and collect patients' location and changes of their condition are developed. In collecting patients' data in a sensor network, it is necessary to concern importance of patients' data according to patients' priority and improve robustness of data transmission. In this paper, we propose VPMR (Varient Path Multiplicity Routing Algorithm Adapted to Packet Priority). VPMR improves robustness of data transmission by each sender node's controlling degree of path diversity using importance of data and other patients' condition. When data is transmitted, each node judges importance of data in Triage network, it selects one path or multiple paths, and it transmits the data. As a result, high priority data can be collected and robustness of data transmission improves. We evaluate our proposal through computer simulations and show its effectiveness.

本文言語English
ホスト出版物のタイトルProceedings - 25th IEEE International Conference on Advanced Information Networking and Applications, AINA 2011
ページ46-53
ページ数8
DOI
出版ステータスPublished - 2011
外部発表はい
イベント25th IEEE International Conference on Advanced Information Networking and Applications, AINA 2011 - Biopolis, Singapore
継続期間: 2011 3 222011 3 25

出版物シリーズ

名前Proceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN(印刷版)1550-445X

Other

Other25th IEEE International Conference on Advanced Information Networking and Applications, AINA 2011
国/地域Singapore
CityBiopolis
Period11/3/2211/3/25

ASJC Scopus subject areas

  • 工学(全般)

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