Research on Localization Algorithm of Wireless Sensor Networks Based on IoT

Yang Jing, Hongxu Tao, Yun Lin
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Abstract

Wireless Sensor Networks (WSNs) are multihop self-organizing network systems formed by a large number of sensor nodes deployed in the monitoring area. It is an important technical form of the underlying network of the Internet of Things (IoT). The sensor nodes localization is the premise and hinge to the uses of WSNs. The hop-count of the inter-nodes obtained by the conventional Distance Vector Hop (DV-Hop) localization algorithm is always an integer. Therefore, the connectivity between nodes they described is not sufciently accurate. The compute errors of the separation distance between unknown anchor nodes are signicant. This is the main reason. In the paper, the concept of pseudo hop is raised, and the improved accuracy of hop-relationship between nodes is obtained based on energy. Simulation indicate that the improved algorithm enormously advance the localization accuracy of unknown nodes. Moreover, the algorithm has lower requirements on the quantity of beacon nodes and the communication radius, which primely saves energy consumption and costs.
基于物联网的无线传感器网络定位算法研究
无线传感器网络(wsn)是由部署在监控区域的大量传感器节点组成的多跳自组织网络系统。它是物联网底层网络的重要技术形式。传感器节点的定位是无线传感器网络应用的前提和关键。传统的距离矢量跳(Distance Vector Hop, DV-Hop)定位算法得到的节点间跳数总是整数。因此,它们所描述的节点之间的连通性不够准确。未知锚节点间的分离距离计算误差较大。这是主要原因。提出了伪跳的概念,提高了基于能量的节点间跳关系的精度。仿真结果表明,改进后的算法极大地提高了未知节点的定位精度。此外,该算法对信标节点数量和通信半径的要求较低,极大地节省了能耗和成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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