Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network

Authors

  • Yulong Liu School of Mathematics and Physics, Yancheng Institute of Technology
  • Xiaoming Yu School of Mathematics and Physics, Yancheng Institute of Technology
  • Yuhua Hao School of Mathematics and Physics, Yancheng Institute of Technology

DOI:

https://doi.org/10.3991/ijoe.v14i10.9314

Keywords:

wireless sensor networks, quantum neural network, particle swarm optimization, DV-HOP algorithm

Abstract


Aiming at the problem of node localization in wireless sensor networks, a location algorithm for optimizing distance vector hopping (DV-hop) by constructing a quantum neural network model based on particle swarm optimization (PSO) is proposed. According to the average distance obtained by the traditional DV-HOP and the distance from the measured nodes, the quantum neural network model is constructed, and the average distance is trained by the particle swarm optimization algorithm which would shorten the training time of the traditional artificial neural network and accelerate the convergence speed. By using the proposed model, the optimal mean value is obtained, and the optimization of the DV-HOP algorithm is realized. The simulation results show that compared with the traditional DV-HOP algorithm, the proposed algorithm can reduce the positioning error by about 20%, and the positioning accuracy is significantly improved.

Author Biographies

Yulong Liu, School of Mathematics and Physics, Yancheng Institute of Technology

Yulong Liu has a Master's degree and is an associate professor at the School of Mathematics and Physics, Yancheng Institute of Technology, he is mainly engaged in teaching basic physics and researching the properties of nanomaterials.

Xiaoming Yu, School of Mathematics and Physics, Yancheng Institute of Technology

Xiaoming Yu is a PhD student and is an associate professor at the School of Mathematics and Physics, Yancheng Institute of Technology, he is mainly engaged in basic physics teaching and computational physics and other research work.

Yuhua Hao, School of Mathematics and Physics, Yancheng Institute of Technology

Yuhua Hao is an associate professor at the School of Mathematics and Physics, Yancheng Institute of Technology, he is mainly engaged in basic physics teaching and applied physics research.

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Published

2018-10-26

How to Cite

Liu, Y., Yu, X., & Hao, Y. (2018). Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 230–240. https://doi.org/10.3991/ijoe.v14i10.9314

Issue

Section

Short Papers