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A Tool to Determine Strategic Location and Ranges of Nodes for Optimum Deployment of Wireless Sensor Network

机译:确定节点战略位置和范围以最佳部署无线传感器网络的工具

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The deployment of wireless sensors is very challenging, yet it is one of the most unexplored areas of this domain. In most of the WSN applications, the sensing location is fixed. In this paper, we are describing a deployment tool we have developed for strategic localization and network optimization. Even before going into field deployment, this tool can be used to calculate precisely the location of the nodes and transmission range while considering line of sight and obstacle into account. The JPEG image of the terrain or floor plan and line of sight or obstacle are the input parameters. The algorithm used in this tool addresses two aspects of the problems: how to minimize the range of the sensor nodes while still forming a well connected network and how to find the location of the forwarding nodes such that the energy required in communication is minimum. Based on these algorithms we have developed a tool to calculate the network parameters such as minimum numbers of forwarding nodes, minimum range for each node required to form a well connected mesh network and minimize the power consumption. Our initial experiments with google maps give very encouraging results.
机译:无线传感器的部署非常具有挑战性,但是它是该领域中最未开发的领域之一。在大多数WSN应用中,感应位置是固定的。在本文中,我们将描述为战略本地化和网络优化而开发的部署工具。即使在进行现场部署之前,也可以使用该工具精确计算节点的位置和传输范围,同时考虑视线和障碍物。输入参数是地形或平面图的JPEG图像以及视线或障碍物。该工具中使用的算法解决了问题的两个方面:如何在保持良好连接的网络的同时最小化传感器节点的范围,以及如何找到转发节点的位置以使通信所需的能量最小。基于这些算法,我们开发了一种工具来计算网络参数,例如最小数量的转发节点,形成一个连接良好的网状网络所需的每个节点的最小范围以及最小化功耗。我们对谷歌地图的初步实验给出了令人鼓舞的结果。

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