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Journal of Projectiles, Rockets, Missiles and Guidance >

2022 , Vol. 42 >Issue 5: 15 - 19

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2022.05.004

Ranging Correction and Quasi-Newton Method-based Localization Algorithm in WSNs

  • SUN Yu
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  • School of Information Engineering,Zhumadian Vocational and Technical College, Zhumadian 463000, Henan, China

Received date: 2021-09-08

  Online published: 2025-01-16

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Abstract

For low positioning accuracy of localization algorithm based on received signal strength index (RSSI), ranging correction and quasi-Newton method-based localization (RCNL) algorithm is proposed in this paper. RCNL algorithm consists of ranging process and localization process. In ranging process, the RSSI is used to range among nodes, and the large deviation RSSI values is deleted through normal filtering in order to improve the ranging accuracy. In the localization stage, the unknown node position was estimated by the Bounding-box algorithm, and then the quasi-Newton method was used to further estimate the unknown node position to improve the positioning accuracy. Simulation results show that the normalized localization error of RCNL is reduced by about 6% compared with IDV-hop algorithm when the number of nodes is 100, and communication radius of node is 25 m. The proposed RCNL algorithm improves the positioning accuracy.

Key words： received signal strength; localization; normal filter; Bounding-box; quasi-Newton method

Cite this article

SUN Yu . Ranging Correction and Quasi-Newton Method-based Localization Algorithm in WSNs[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(5) : 15 -19 . DOI: 10.15892/j.cnki.djzdxb.2022.05.004

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