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A Localization Algorithm Based on the Hops for Large-Scale Wireless Sensor Networks

机译:大规模无线传感器网络中基于跳数的定位算法

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Localization of sensors is one core technique in wireless sensor networks (WSN). A localization algorithm (BHLA) based on hops for large-scale wireless sensor networks is presented in the paper. In the BHLA algorithm, nodes are divided into anchor nodes and unknown nodes. Unknown node can communicate with the anchor nodes which are covered in this unknown node' communication range. Firstly, the distance of all anchor nodes to unknown anchor is converted into the number of hops by using Flooding. Then anchor nodes are divided into different areas according to numeric value of their hop, anchor nodes which have same numeric value of hops are belong to the same region. Unknown node collects coordinate information of all anchor nodes, then those coordinate information are divided into different collections according to their region, the coordinate information of the anchor nodes in same region are belong to a same collection. The different coordinate information which belong to those collections can be determined an area by Point In Which Side (PIWS) determination, and the intersection of communication range of all anchor nodes which located in the communication range of unknown node can determine another area. So we can estimate the position of unknown node by the overlapping area of above two areas. The BHLA algorithm is a kind of Range-free algorithm. It also does not need to detect energy. So it can cut down the node energy cost, save time and avoid the interference such as shadow, disorders, attenuation which often be encountered in energy detection. The experiment results illustrate that the BHLA algorithm in this paper has higher accuracy. So it is an effective positioning algorithm.
机译:传感器的本地化是无线传感器网络(WSN)的一项核心技术。提出了一种基于跳的大规模无线传感器网络定位算法。在BHLA算法中,节点分为锚节点和未知节点。未知节点可以与该未知节点的通信范围内涵盖的锚点节点进行通信。首先,通过泛洪将所有锚节点到未知锚的距离转换为跳数。然后根据锚节点的跳数将锚节点划分为不同的区域,具有相同跳数的锚节点属于同一区域。未知节点收集所有锚节点的坐标信息,然后将这些坐标信息按其区域划分为不同的集合,同一区域内的锚节点的坐标信息属于同一集合。属于那些集合的不同的坐标信息可以通过点内边(PIWS)确定来确定一个区域,而位于未知节点的通信范围内的所有锚节点的通信范围的交集可以确定另一个区域。因此,我们可以通过以上两个区域的重叠区域来估计未知节点的位置。 BHLA算法是一种无范围算法。它还不需要检测能量。这样可以降低节点的能源成本,节省时间,避免能量检测中经常遇到的阴影,干扰,衰减等干扰。实验结果表明,本文的BHLA算法具有较高的精度。因此,它是一种有效的定位算法。

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