Costa Daniel G, Duran-Faundez Cristian, Andrade Daniel C, Rocha-Junior João B, Peixoto João Paulo Just
Department of Technology, State University of Feira de Santana, Feira de Santana 44036-900, Brazil.
Department of Electrical and Electronic Engineering, University of the Bio-Bio, Collao, Region del Bio Bio, Concepcion 1202, Chile.
Sensors (Basel). 2018 Apr 3;18(4):1080. doi: 10.3390/s18041080.
Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in , and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.
现代城市容易受到周期性或意外的关键事件影响，这些事件可能会带来经济损失，甚至危及人们的生命安全。当部署一些基于无线传感器网络的监测系统时，可以利用所考虑事件的相关性来调整传感器节点的传感和传输配置，但可能难以实现对感兴趣事件的有效检测和分类。在智慧城市环境中，一些人会自发地在社交媒体上发布有关正在观察到的某些事件的信息，这些信息可以被挖掘和处理，以用于关键事件的检测和分类。本文提出了一种综合方法，用于检测和分类社交媒体上发布的感兴趣事件，特别是在[具体平台名称未给出]上，并为源节点分配传感优先级。通过这样做，在智慧城市场景中部署的无线传感器网络在监测受检测事件影响的区域时可以进行优化，以提高效率。
