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Big Data Analytics for Emergency Communication Networks: A Survey

机译:应急通信网络的大数据分析:一项调查

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摘要

Disaster management is a crucial and urgent research issue. Emergency communication networks (ECNs) provide fundamental functions for disaster management, because communication service is generally unavailable due to large-scale damage and restrictions in communication services. Considering the features of a disaster (e.g., limited resources and dynamic changing of environment), it is always a key problem to use limited resources effectively to provide the best communication services. Big data analytics in the disaster area provides possible solutions to understand the situations happening in disaster areas, so that limited resources can be optimally deployed based on the analysis results. In this paper, we survey existing ECNs and big data analytics from both the content and the spatial points of view. From the content point of view, we survey existing data mining and analysis techniques, and further survey and analyze applications and the possibilities to enhance ECNs. From the spatial point of view, we survey and discuss the most popular methods and further discuss the possibility to enhance ECNs. Finally, we highlight the remaining challenging problems after a systematic survey and studies of the possibilities.
机译:灾难管理是一个至关重要且紧迫的研究问题。紧急通信网络(ECN)提供了灾难管理的基本功能,因为由于大规模损坏和通信服务的限制,通常无法使用通信服务。考虑到灾难的特征(例如,有限的资源和环境的动态变化),有效地使用有限的资源来提供最佳的通信服务始终是关键问题。灾区的大数据分析为了解灾区的情况提供了可能的解决方案,从而可以根据分析结果优化部署有限的资源。在本文中,我们从内容和空间角度对现有的ECN和大数据分析进行了调查。从内容的角度来看,我们调查了现有的数据挖掘和分析技术,并进一步调查和分析了应用程序以及增强ECN的可能性。从空间的角度,我们调查和讨论最流行的方法,并进一步讨论增强ECN的可能性。最后,我们通过对可能性进行系统的调查和研究后,着重指出剩下的挑战性问题。

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