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A NEW METHOD FOR LOCALIZATION OF WIRELESS SENSOR NETWORKS BASED ON PATH PLANNING OF MOBILE ROBOTS

机译:基于移动机器人路径规划的无线传感器网络定位新方法

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With an explosive growth of wireless sensor networks (WSN), many of their features and applications have become important. Localization of sensor nodes is one of the most important problems in WSN whose accuracy has a very large impact on its performance. Global positioning system (GPS) is a well-known and powerful way which differentiates methods of its use on each node individually. But, because of high energy consuming and processing GPS, it is inappropriate for WSNs. Different algorithms are suggested to overcome the consumed cost of GPS by putting GPS on only some nodes instead of all nodes in the network for localization. So, for nodes localization, just a number of nodes exploit GPS and, they can help other nodes of network in localization via distribution of their coordinates. The use of a mobile robot to send signals to coordinate the target node localization is a good idea. The mobile robot should move in the right path and can localize node more accurately at lower cost. This paper proposes a new method to localize all nodes through some localized nodes based on graph theory in a tree and network topology. The proposed method provides better performance at the cost of accuracy and the number of nodes that can be made up of local consumption.
机译:随着无线传感器网络(WSN)的爆炸性增长,其许多功能和应用已变得非常重要。传感器节点的定位是WSN中最重要的问题之一,其准确性对其性能有很大的影响。全球定位系统(GPS)是一种众所周知的功能强大的方法,可将其在每个节点上的使用方法区分开来。但是,由于高耗能和处理GPS,因此它不适用于WSN。建议通过将GPS仅放置在网络中的某些节点上而不是网络中的所有节点上来进行定位,从而克服GPS消耗的成本的各种算法。因此,对于节点定位,只有许多节点利用GPS,并且它们可以通过分布其坐标来帮助网络中的其他节点进行定位。使用移动机器人发送信号来协调目标节点的定位是一个好主意。移动机器人应沿正确的路径移动,并可以以较低的成本更精确地定位节点。本文提出了一种基于图论的树状结构和网络拓扑结构通过所有局部节点对所有节点进行局部定位的新方法。所提出的方法以精度和可以由本地消耗组成的节点数为代价提供了更好的性能。

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