Performance Analysis of a Particle Swarm Optimization based Localization Algorithm in Wireless Sensor Network

Tapan Kumar Mohanta, Ankur Rai, Dushmanta Kumar Das
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引用次数: 2

Abstract

Wireless sensor network (WSN) can be applied for sensing, collecting, processing and transmission of information. Most of the applications of WSNs are a few issues of localization problem. To minimize the drawback of basic Distance Vector-Hop algorithm, a Particle Swarm Optimization (PSO) based Distance Vector-Hop localization algorithm is presented in this paper. The validation of results are complied by simulation. Error variance, error accuracy with localization error have analyzed with the performance of implemented in Distance Vector algorithm. In this paper, error localization and variance are decreased and accuracy is increased.
基于粒子群优化的无线传感器网络定位算法性能分析
无线传感器网络(WSN)可以应用于信息的感知、采集、处理和传输。大多数无线传感器网络的应用都是一些定位问题。针对传统距离矢量跳定位算法的不足,提出了一种基于粒子群优化(PSO)的距离矢量跳定位算法。通过仿真验证了结果的正确性。分析了距离矢量算法在定位误差下的误差方差、误差精度和实现的性能。该方法减小了误差定位和方差,提高了精度。
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