Modified Zeroing Neurodynamics Models for Range-Based WSN Localization From AOA and TDOA Measurements

With the rise of the internet of things, wireless sensor network (WSN) technology has gained unprecedented development and has attracted increasing attention from researchers. Due to the inherent characteristics of WSN, such as interaction with the environment, WSN localization becomes an essential...

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Bibliographic Details
Published in:IEEE sensors journal 2022-07, Vol.22 (13), p.13716-13726
Main Authors: Wang, Lijuan, Su, Dan, Liu, Mei, Du, Xiujuan
Format: Article
Language:English
Subjects:
Angle of arrival
Computational modeling
Covariance matrices
Internet of Things
Localization
Location awareness
Mathematical models
Neurodynamics
Parameter modification
Sensors
time difference of arrival
Time measurement
Underwater acoustics
Underwater detectors
wireless sensor network localization
Wireless sensor networks
zeroing neurodynamics model
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Summary:With the rise of the internet of things, wireless sensor network (WSN) technology has gained unprecedented development and has attracted increasing attention from researchers. Due to the inherent characteristics of WSN, such as interaction with the environment, WSN localization becomes an essential and attractive topic in academia and industry. In this paper, the range-based localization problem in a mobile WSN application scenario is considered to be time-varying and modeled as a dynamic matrix equation by introducing the time parameter. Two modified zeroing neurodynamics (ZND) models are proposed and investigated to deal with range-based WSN localization problems from angle of arrival (AOA) measurement and time difference of arrival (TDOA) measurement. In addition, the convergence of the proposed models is theoretically analyzed. Furthermore, computer simulations on WSN localization are carried out to prove the effectiveness of the proposed models in terms of accuracy and robustness to the dynamic environment. Additionally, the application to underwater sensor node localization of underwater acoustic network (UAN) testbed is provided to illustrate the feasibilities of the proposed models for solving UAN localization problem.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2022.3177409