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Boundary recognition by topological methods in wireless sensor networks

机译:无线传感器网络中拓扑方法的边界识别

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All applications of the wireless sensor network is closely related to the underlying environment in which the sensors are deployed. The topology of the sensor network is great importance for sensor network applications and the implementation of networking function[1]. The recognition of the boundary or the inner hole boundary of the network is the basic of a broad spectrum of algorithms. In the paper we study use the topology construction for find the boundary of network. Boundary node include inner hole boundary nodes and outside boundary nodes. About the interior boundary node and outside boundary, in the main text we will give a definition. Our algorithm is a scalable and range-free solution for boundary recognition methods that is not require a high node density. In this algorithm, we do not assume any information about node's location and do not enforce that the communication graph follows the unit disk graph model. Suppose that a large number of sensor nodes are scattered in a geometric region and every nodes communicating with the node nearest to itself. Our goal is to find the boundary of the network only use the nodes topology connection. We provides a simple, distributed algorithm that can quickly detects nodes on the boundary.
机译:无线传感器网络的所有应用与部署传感器的底层环境密切相关。传感器网络的拓扑对传感器网络应用和网络功能的实现非常重要[1]。识别网络的边界或内孔边界是广谱算法的基本。在本文中,我们研究使用拓扑结构来查找网络边界。边界节点包括内孔边界节点和外部边界节点。关于内部边界节点和外部边界,在主文本中,我们将提供一个定义。我们的算法是用于边界识别方法的可扩展和无距离解决方案,其不需要高节点密度。在该算法中,我们不假设有关节点位置的任何信息,并且不强制执行通信图遵循单位磁盘图形模型。假设大量传感器节点散射在几何区域和与最靠近其自身的节点通信的每个节点。我们的目标是找到网络的边界仅使用节点拓扑连接。我们提供了一种简单的分布式算法,可以快速检测边界上的节点。

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