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.
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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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Uchida, N., Ishida, T., Shibata, Y. (2019). Delay Tolerant Networks with Static Body Object Detections by Mobile Sensors for Disaster Information System. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_46
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