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Delay Tolerant Networks with Static Body Object Detections by Mobile Sensors for Disaster Information System

  • Noriki UchidaEmail author
  • Tomoyuki Ishida
  • Yoshitaka Shibata
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)

Abstract

Although the life safety information services are widely known if there would be large-scale disasters, there have been some problems to use them by people who are not good to operate or people who are injured. Therefore, this paper proposes the static body object detection methods with the DTN for life safety information system. In the system, the sensors on smartphones automatically detect the abnormal static situations by the time and position differences based with the Markov Chain Monte Carlo methods, and the emergent messages are automatically transmitted with the message priorities. Moreover, those messages are transmitted to the servers by the Data Triage Methods with the priority ID from the static body detections. Then, the experiments by the city scale are discussed for the effectiveness of the proposed systems.

Notes

Acknowledgement

This paper is the extend version of “Proposal of Static Body Object Detection Methods with the DTN Routing for Life Safety Information Systems” in the 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA2018), May. 2018. Also, this work was supported by SCOPE (Strategic Information and Communications R&D Promotion Programme) Grant Number 181502003 by Ministry of Internal Affairs and Communications in Japan.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Noriki Uchida
    • 1
    Email author
  • Tomoyuki Ishida
    • 1
  • Yoshitaka Shibata
    • 2
  1. 1.Fukuoka Institute of TechnologyHigashi-kuJapan
  2. 2.Iwate Prefectural UniversityTakizawaJapan

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