智能城市实时应用的新路由度量

Lamia Elgaroui, S. Chamberland, S. Pierre
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引用次数: 2

摘要

许多相互连接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。这种通过实时应用程序交换信息的网络设备具有高移动性的特点,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这种信息路由问题。它们大多在计算路由度量时使用许多网络参数,如节点位置、节点速度、链路质量和网络密度等。然而,现有的路由解决方案可能需要同时结合端到端延迟、丢包和距离。这增加了数据传输的效率,因为实时应用程序不需要丢包和更少的延迟。在本文中,我们考虑这些参数,提出了一种新的多准则路由度量的数学模型。随后,我们用三种不同的方法求解:精确法、A星法和A星带障碍法。仿真结果表明,A星方法在响应时间和迭代次数方面是有效的。
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A new routing metric for real-time applications in smart cities
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.
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