Improved Wireless Sensor Location Algorithm Based on Combined Particle Swarm-Quasi-Newton with Threshold N

Authors

  • Hongqiang Zhang Suihua University
  • Chunhong Wang Suihua University

DOI:

https://doi.org/10.3991/ijoe.v14i05.8649

Keywords:

DV-Hop location algorithm, localization algorithm, particle swarm-quasi-Newton, threshold N

Abstract


this paper drills down and systematically analyzes the improved DV-Hop algorithm about the origin of its position errors. A new method is hereby given for modifying such position errors. Beyond that, the particle swarm-quasi-Newton algorithm is improved, intercepting the combined DV-Hop location algorithm according to the number of known nodes which has been defined by a threshold N. The coordinate of unknown nodes is calculated and analyzed by the combined particle swarm-quasi-Newton algorithm. Then this paper makes a validation analysis on the results by the way of emulation. The results show that the improved algorithm is relatively superior with high precision and lower position error than improved DV-Hop as intercepted.

Author Biographies

Hongqiang Zhang, Suihua University

Zhang Hongqiang is an associate professor in College of Electrical Engineering, Suihua University, Suihua, China. His research interests include motor control, intelligent information processing, wireless sensor networks.

Chunhong Wang, Suihua University

Wang Chunhong is a professor in College of Electrical Engineering, Suihua University, Suihua, China. His research interests include motor control, intelligent information processing.

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Published

2018-05-25

How to Cite

Zhang, H., & Wang, C. (2018). Improved Wireless Sensor Location Algorithm Based on Combined Particle Swarm-Quasi-Newton with Threshold N. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 31–41. https://doi.org/10.3991/ijoe.v14i05.8649

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Section

Papers