基于DTN路由的生命安全信息系统静态物体检测方法的提出

Noriki Uchida, Takahiro Shingai, Takato Shigetome, Tomoyuki Ishida, Y. Shibata
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引用次数: 8

摘要

虽然智能手机上的生命安全信息系统在灾害紧急情况下得到了广泛的应用,但对于不擅长操作或受伤的人来说,使用智能手机也存在一些问题。为此,本文提出了基于时延容忍网络的生命安全信息系统静态物体检测方法。在系统中,智能手机上的传感器基于马尔可夫链蒙特卡罗方法,根据时间和位置差异自动检测异常静态情况,并根据消息优先级自动发送紧急消息。此外,这些消息通过延迟容忍网络传输到服务器。然后,介绍了原型系统,并对系统的有效性进行了实验讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of Static Body Object Detection Methods with the DTN Routing for Life Safety Information Systems
Although the life safety information systems on the smartphones are widely spread for the sake of the emergent situations in disasters, there have been some problems to use them by people who are not good to operate or are injured. Therefore, this paper proposes the static body object detection methods with the Delay Tolerant Networking 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 with the Delay Tolerant Networking. Then, the prototype system is introduced, and the experiments are discussed for the effectiveness of the proposed systems.
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