Bayesian Estimation Method of Transportation Frequency for Disaster Information Sharing System

In large-scale disasters such as earthquakes, sharing of disaster information is required without relying on the existing communication infrastructure. In this paper, we propose a disaster information sharing system using passive portable storages such as a USB memory stick as for communication media. Our pro-posed system assumes a serious disaster that requires the physical transport of communication media. In this system, the portable storages are transported by local citizens. In such situations, each sending node cannot know both the destination node of each message and the receiver node of portable storages. Therefore, an efficiency content selection method is required for our proposed system. We also propose a content selection method based on priority. The proposed method calculates the content priority based on the transportation frequency information between nodes estimated from the transportation history of portable storages and the content diffusion information in the network. We have revealed the effectiveness of our proposed method by simulation using actual geographical points of evacuation centers.