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A new routing metric for real-time applications in smart cities

机译:智能城市实时应用的新路由度量

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Many interconnected smart devices manage and control different areas in cities using information and communication technologies. Such networked devices, exchanging information through real-time applications, are characterized by their high mobility, which require developing optimized routing metrics. In the literature, several solutions are proposed to solve such an information routing problem. Most of them use many network parameters in routing metrics calculation, such as the node position, the node speed, the link quality and the network density. However, the existing routing solutions may require combining simultaneously the end to end delay, the packet loss and the distance. This adds more efficiency in data transmission since the realtime applications require no packet loss and less delay. In this paper, we consider these parameters to propose a mathematical modeling of new multicriteria routing metric. Subsequently, we solve it with three different methods: exact method, A star method and A star with obstacles method. The simulation results show the efficiency of the A star method in terms of response time and iteration number.
机译:许多互联的智能设备使用信息和通信技术管理和控制城市的不同区域。通过实时应用交换信息的这种网络设备的特征在于它们的高移动性,这需要开发优化的路由度量。在文献中,提出了几种解决方案来解决此类信息路由问题。其中大多数在路由度量计算中使用许多网络参数,例如节点位置,节点速度,链路质量和网络密度。然而,现有的路由解决方案可能需要同时结合结束到终端延迟,分组丢失和距离。这在数据传输中增加了更多效率,因为实时应用程序不需要数据包丢失和更少的延迟。在本文中,我们考虑这些参数来提出新的多轨道路由度量的数学建模。随后,我们用三种不同的方法解决了它:精确的方法,明星法和带有障碍物的恒星。仿真结果表明了在响应时间和迭代号方面的恒星方法的效率。

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