2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA) (2016)
March 23, 2016 to March 25, 2016
Big Data analysis is considered as a powerful tool to help the disaster management in many fields. In this study, we investigated and applied the Big Data techniques for the disaster estimation of mobile communication systems. Firstly, we have developed an data analysis model by analyzing the large amount of data generated and collected from the previous earthquakes. Then, based on the model, we integrated all the necessary data and potential earthquakes estimations that are likely to strike Tokyo area in the near future, to calculate the mobile service area with probabilistic availability. Moreover, we could also predict the spatial and temporal changes of the service availability areas by building them into the geographic information system (GIS). Our developed model and simulation platform could help many decision-making bodies such as governments or network operators to assess the vulnerability of communication infrastructures and make better preparedness and fast response for large-scale disasters.
Mobile communication, Earthquakes, Base stations, Power system faults, Power system restoration, Buildings, Analytical models
L. Zhong, K. Takano, Y. Ji and S. Yamada, "Big Data Based Service Area Estimation for Mobile Communications during Natural Disasters," 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Crans-Montana, Switzerland, 2016, pp. 687-692.