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.

Downloads

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

Issue

Vol. 14 No. 05 (2018)

Section

Papers

License

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.