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DTN-based data aggregation for timely information collection in disaster areas

机译:基于DTN的数据聚合可在灾区及时收集信息

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When disasters occur, a common characteristic is the partial or complete failure of the telecommunications infrastructure so the usual means of communication are often not available. However, accurate and timely information of the disaster area is important. In this paper, a data collection method from an area of interest (AoI) within the disaster zone is proposed that uses the mobile phones of the people to serve as sensing nodes. To achieve maximum AoI coverage while minimizing delay, we propose a DTN-based data aggregation method. Mobile phone users create messages containing disaster-related information and merge them with their respective coverage areas into a new message with the merged coverage to reduce message size and to minimize the overall message collection delay. However, simply merging messages may result in duplicate counting thus, to prevent this, a Bloom filter is constructed for each aggregated message. Also, to reduce further the message delivery time, the expected time of a node to reach its destination is introduced as a routing metric. Through computer simulation with a real geographical map, we confirmed that the proposed method achieved a smaller delay in message delivery than epidemic routing.
机译:当灾难发生时,一个共同的特征是电信基础设施的部分或全部故障,因此通常无法使用常规的通信方式。但是,准确,及时地提供灾区信息非常重要。本文提出了一种从灾区感兴趣区域(AoI)收集数据的方法,该方法利用人们的手机作为传感节点。为了在最大程度地减少延迟的同时实现最大的AoI覆盖,我们提出了一种基于DTN的数据聚合方法。移动电话用户创建包含灾难相关信息的消息,并将它们与各自的覆盖范围合并为具有合并覆盖范围的新消息,以减小消息大小并最大程度地减少总体消息收集延迟。但是,简单地合并消息可能会导致重复计数,因此,为了防止这种情况,将为每个聚合的消息构造一个Bloom过滤器。而且,为了进一步减少消息传递时间,引入了节点到达其目的地的预期时间作为路由度量。通过使用真实地理地图进行计算机仿真,我们确认了所提出的方法比流行的路由实现了更短的邮件传递延迟。

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