Development and Application of a New Positioning Algorithm for Wireless Sensor Networks

Authors

  • Guohong Gao School of Information and Engineering, Henan Institute of Science and Technology
  • Feng Wei Xinxiang Vocational and Technical College
  • Jianping Wang School of Information and Engineering, Henan Institute of Science and Technology

DOI:

https://doi.org/10.3991/ijoe.v14i10.9305

Keywords:

wireless sensor networks, location algorithm, TOA, CRLB

Abstract


This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.

Author Biographies

Guohong Gao, School of Information and Engineering, Henan Institute of Science and Technology

Guohong Gao received his bachelor's degree in Computer Application Technology from Henan Normal University, Xinxiang, Henan, China, in 2000, the master's degree in Computer Application Technology from Huazhong University of Science and Technology, Wuhan, China, in 2008. He is now a lecturer at School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China. His current research interests include cloud computing, Internet of things technology and applications.

Feng Wei, Xinxiang Vocational and Technical College

Feng Wei received his bachelor's degree in Computer Science and Technology from Zhengzhou University of Aeronautics, Zhengzhou, Henan, China, in 2004, the master's degree in Agricultural Informatization from Henan Normal University, Xinxiang, Henan, China, in 2015. He is now a lecturer at Xinxiang Vocational and Technical College, Xinxiang, China. His current research interests include pattern recognition, image processing, neural networks, natural language processing.

Jianping Wang, School of Information and Engineering, Henan Institute of Science and Technology

Jianping Wang received his bachelor's degree in computer science and technology from Shanxi Normal University, Xinxiang, Henan, China, in 2004. He is now a lecturer at School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China. His current research interests include SDN network of underwater sensors.

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Published

2018-10-26

How to Cite

Gao, G., Wei, F., & Wang, J. (2018). Development and Application of a New Positioning Algorithm for Wireless Sensor Networks. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 80–93. https://doi.org/10.3991/ijoe.v14i10.9305

Issue

Vol. 14 No. 10 (2018)

Section

Papers