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Solving Critical Events through Mobile Edge Computing: An Approach for Smart Cities

机译:通过移动边缘计算解决关键事件:智能城市的方法

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The fourth industrial revolution related to the Internet of Things (IoT) is leading to the emergence of future smart cities and cyber-physical systems with a rapidly increasing of smart connected objects (such as personal devices, sensors, actuators). Therefore, companies such as Telcos, Cloud and Service Providers have to analyze a huge amount of data that probably lead to the reduction of available bandwidth and subsequent increase of network latency. In this context, Fog Computing and Mobile Edge Computing (MEC) can be suitable paradigms to solve this kind of problems. The exploitation of the heterogeneous environment allows a better performance for mission-critical and time-critical applications. In this paper we present a scenario that exploits the MECs in order to detect abnormal or critical events such as terrorist threats, natural and man-made disasters. The proposed solution allows cooperation among the Base Transceiver Stations (BTS) to rapidly notify the users which are close to the critical area.
机译:涉及到物联网(IOT)互联网的第四次工业革命引领未来智能城市和网络物理系统的出现,智能连接的对象(如个人设备,传感器,执行器)的迅速增加。因此,企业如电信运营商,云和服务提供商必须分析大量数据,这可能会导致可用带宽和网络延迟的后续增加的减少。在这种情况下,雾计算和移动边缘计算(MEC)可以是合适的范例来解决这类问题。异构环境的开发允许为关键任务和时间要求严格的应用中有更好的表现。在本文中,我们提出,它利用的MEC,以检测异常或紧急事件,如恐怖威胁,自然和人为灾害的情况。所提出的解决方案允许基站收发台(BTS)之间的合作,以迅速通知其已接近临界区的用户。

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