Effect of Network Topologies on Localization using DV-Hop based PSO Algorithm

Jyotisha Azad, V. Kanwar, Ashok Kumar
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引用次数: 1

Abstract

In WSN, Localization of node plays significant role. Localization is applied to obtain the location of node. Without the knowledge of exact location of node, information collected from this particular node is not much useful. There are various techniques of Localization of nodes in WSN like Range-based and Range-free. In range-based technique extra hardwares required which make it costly but range free required comparatively less hardware. So, we prefer range free localization. Most commonly used range free algorithm is DV-Hop localization algorithm, which is used to evaluate the position of nodes using distance vector method. The proposed research work has analysed the effect of different network topology on the performance of localization algorithm using optimization (like PSO). Here, the simulation has been performed by using MATLAB and comprehensive study on the network topology of different shapes like square-shaped, C-shaped, O-shaped topology has also been performed. The proposed simulation result shows that, the comparison between these different shaped network topology's localization error and its variance.
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网络拓扑结构对基于DV-Hop的PSO算法定位的影响
在无线传感器网络中,节点定位起着至关重要的作用。采用定位方法获取节点的位置。如果不知道节点的确切位置,从该特定节点收集的信息就没有多大用处。无线传感器网络的节点定位技术有基于距离的和无距离的。基于距离的技术需要额外的硬件,这使得成本很高,而无距离技术所需的硬件相对较少。所以,我们更倾向于范围自由定位。最常用的无距离定位算法是DV-Hop定位算法,该算法利用距离矢量法对节点的位置进行估计。提出的研究工作分析了不同的网络拓扑结构对使用优化的定位算法(如粒子群算法)性能的影响。在此,利用MATLAB进行了仿真,并对不同形状的网络拓扑进行了全面的研究,如正方形、c形、o形拓扑。仿真结果表明,对不同形状网络拓扑的定位误差及其方差进行了比较。
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