A Novel Wireless Sensor Node Positioning Algorithm Based on Ant Colony Optimization Algorithm and Neural Network

Authors

  • Beichen Chen College of Information and Control Engineering, Jilin Institute of Chemical Technology; School of Information Science & Engineering, Northeastern University

DOI:

https://doi.org/10.3991/ijoe.v14i10.9301

Keywords:

Wireless sensor network (WSN), neural network (NN), ant colony optimization (ACO) algorithm, data fusion, feature extraction

Abstract


This paper aims to enhance the positioning accuracy of wireless sensor network (WSN) nodes. For this purpose, a WSN node positioning algorithm was proposed based on artificial bee colony (ABC) algorithm and the neural network (NN). First, the parameters between three anchor nodes and the target node were measured. Then, the ABC and NN were introduced to simulate and predict the ranging error, and the weight was determined according to the results. In the proposed algorithm, the cluster structure was effectively combined with the NN model. The weight of backpropagation NN was optimized by the ant colony optimization (ACO) algorithm. Then, the ACO-optimized NN was used to fuse the data collected by WSN nodes. The simulation results show that the proposed algorithm can improve the positioning accuracy of WSN nodes and reduce the time of the search. The research findings shed new light on the positioning of WSN nodes.

Author Biography

Beichen Chen, College of Information and Control Engineering, Jilin Institute of Chemical Technology; School of Information Science & Engineering, Northeastern University

Beichen Chen received his Bachelor in Automation and Instrument from Northeastern University, China, in 2003., and his Master degree in Physical Chemistry of Metallurgy from Northeastern University, China in 2007. Currently he is working on Ph.D. Program in Measurement Technology and Automatic Equipment from Northeastern University, China. Meanwhile, he is a lecturer of College of Information and Control Engineering, Jilin Institute of Chemical Technology. His research interests are in sensing technology, Wireless sensor network and embedded system development.

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Published

2018-10-26

How to Cite

Chen, B. (2018). A Novel Wireless Sensor Node Positioning Algorithm Based on Ant Colony Optimization Algorithm and Neural Network. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 40–52. https://doi.org/10.3991/ijoe.v14i10.9301

Issue

Vol. 14 No. 10 (2018)

Section

Papers

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