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Random Geometric Graphs as model of Wireless Sensor Networks

机译:随机几何图作为无线传感器网络模型

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Wireless Sensor Networks (WSN) are likely to be widely deployed in the near future because they greatly extend our ability to monitor and control the physical environment. Finding a good network model for WSN is of great importance and has been the subject of several publications. Many models have their origin in classic areas of theoretical computer science and applied mathematics: regardless of the radio technology used, from the topology point of view, at any instant in time a WSN can be represented as a graph with a set of vertices consisting of the nodes of the network and a set of edges consisting of the links between the nodes. However, future applications will involve a large number of sensors to deploy on inaccessible areas, leading to a random deployment which makes the classical graph models obsolete. In this paper, we show that the random strategy is the only way to deploy future WSN and therefore the modeling with Random Geometric Graphs is the most appropriate.
机译:无线传感器网络(WSN)可能会在不久的将来广泛部署,因为它们大大扩展了我们监控和控制物理环境的能力。 为WSN寻找一个很好的网络模型非常重要,并且是几个出版物的主题。 许多型号在理论计算机科学的经典领域具有它们的原点:无论使用的无线电技术,从拓扑的角度来看,在任何时候,WSN都可以表示为包含一组顶点的图表 网络的节点和由节点之间的链路组成的一组边缘。 但是,未来的应用程序将涉及大量传感器来部署无法访问的区域,导致随机部署,这使得经典图模型过时。 在本文中,我们表明随机策略是部署未来WSN的唯一方法,因此使用随机几何图形的建模是最合适的。

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