基于归零神经动力学的水下无线传感器网络节点测距定位方法

doi:10.11959/j.issn.1000-436x.2022192

Abstract

Abstract:

In underwater wireless sensor network (UWSN), the AoA/TDoA-based ranging localization problem for nodes was formulated from a time-variant perspective, and a zeroing neural dynamics model was proposed to solve it.Then, the convergence of the proposed model was theoretically analyzed.Furthermore, computer simulations on UWSN localization were carried out to demonstrate the effectiveness of the proposed models in terms of accuracy and robustness to the mobile localization.Additionally, through tests performed in Qinghai lake, the coordinates of nodes of UWSN test-bed were leverage to illustrate the potential applicability of the proposed model in the true underwater environment.

Key words: underwater wireless sensor network, node localization, zeroing neural dynamics, ranging localization

CLC Number:

TP393

Xiujuan DU, Lijuan WANG, Jingping LIU, Long JIN. Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics[J]. Journal on Communications, 2022, 43(10): 177-185.

Figures/Tables 7

References 24

[1]	刘杨, 李崔灿, 彭木根 . 低功耗水下物联网:愿景与关键技术[J]. 物联网学报, 2022,6(2): 1-9.
	LIU Y , LI C C , PENG M G . Low-power internet of underwater things:vision and key technologies[J]. Chinese Journal on Internet of Things, 2022,6(2): 1-9.
[2]	李鑫滨, 高梦玲, 闫磊 . 一种负载均衡且能量高效的水下传感网络分簇协议[J]. 电信科学, 2016,32(11): 42-49.
	LI X B , GAO M L , YAN L . A load balanced and energy efficient un-derwater clustering protocol for UWSN[J]. Telecommunications Science, 2016,32(11): 42-49.
[4]	王兴旺 . 水下无线传感器网络中的时钟同步、定位与数据传输研究[D]. 长春:吉林大学, 2018.
	WANG X W . Research on time synchronization,localization and data transmission in underwater wireless sensor networks[D]. Changchun:Jilin University, 2018.
[5]	杨振诚 . 基于优化算法的水下无线传感器网络预测定位算法研究[D]. 南京:南京邮电大学, 2020.
	YANG Z C . Research on predictive localization algorithm of underwater wireless sensor networks based on optimization algorithm[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2020.
[6]	田艺 . 水下无线传感器网络定位技术研究[D]. 桂林:桂林电子科技大学, 2020.
	TIAN Y . Research on localization of underwater wireless sensor network[D]. Guilin:Guilin University of Electronic Technology, 2020.
[7]	CHENG X Z , SHU H N , LIANG Q L ,et al. Silent positioning in underwater acoustic sensor networks[J]. IEEE Transactions on Vehicular Technology, 2008,57(3): 1756-1766.
[8]	CARROLL P , MAHMOOD K , ZHOU S L ,et al. On-demand asynchronous localization for underwater sensor networks[J]. IEEE Transactions on Signal Processing, 2014,62(13): 3337-3348.
[9]	TEYMORIAN A Y , CHENG W , MA L R ,et al. 3D underwater sensor network localization[J]. IEEE Transactions on Mobile Computing, 2009,8(12): 1610-1621.
[10]	曹俊, 郑翠娥, 孙大军 ,等. AUV直线航迹下的单信标测距定位[J]. 哈尔滨工程大学学报, 2017,38(5): 733-738.
	CAO J , ZHENG C E , SUN D J ,et al. AUV positioning based on single beacon ranging in straight-line trajectory[J]. Journal of Harbin Engineering University, 2017,38(5): 733-738.
[11]	JIN B N , XU X S , ZHU Y Y ,et al. Single-source aided semi-autonomous passive location for correcting the position of an underwater vehicle[J]. IEEE Sensors Journal, 2019,19(9): 3267-3275.
[12]	JIN L , YAN J K , DU X J ,et al. RNN for solving time-variant generalized Sylvester equation with applications to robots and acoustic source localization[J]. IEEE Transactions on Industrial Informatics, 2020,16(10): 6359-6369.
[13]	WEI L , JIN L , YANG C G ,et al. New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on hessian matrix inversion[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems, 2021,51(4): 2611-2623.
[14]	ZHANG J Z , JIN L , YANG C G . Distributed cooperative kinematic control of multiple robotic manipulators with an improved communication efficiency[J]. IEEE/ASME Transactions on Mechatronics, 2022,27(1): 149-158.
[15]	ASSAF A E , ZAIDI S , AFFES S ,et al. Robust ANNs-based WSN localization in the presence of anisotropic signal attenuation[J]. IEEE Wireless Communications Letters, 2016,5(5): 504-507.
[16]	LI S , QIN F . A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed,routing-free,range-free localization of WSNs[J]. Neurocomputing, 2013,117: 72-80.
[17]	QI Y M , JIN L , WANG Y N ,et al. Complex-valued discrete-time neural dynamics for perturbed time-dependent complex quadratic programming with applications[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020,31(9): 3555-3569.
[18]	JIN L , YING L F , LU H Y ,et al. Saturation-allowed neural dynamics applied to perturbed time-dependent system of linear equations and robots[J]. IEEE Transactions on Industrial Electronics, 2021,68(10): 9844-9854.
[19]	QI Y M , JIN L , LI H X ,et al. Discrete computational neural dynamics models for solving time-dependent Sylvester equation with applications to robotics and MIMO systems[J]. IEEE Transactions on Industrial Informatics, 2020,16(10): 6231-6241.
[20]	XIE Z T , JIN L , DU X J ,et al. On generalized RMP scheme for redundant robot manipulators aided with dynamic neural networks and nonconvex bound constraints[J]. IEEE Transactions on Industrial Informatics, 2019,15(9): 5172-5181.
[21]	JIN L , LI S , WANG H Q ,et al. Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence[J]. Applied Soft Computing, 2018,62: 840-850.
[22]	杜秀娟, 苏毅珊 . 水下传感器网络研究[M]. 北京: 科学出版社, 2016.
	DU X J , SU Y S . Research on underwater wireless sensor network[M]. Beijing: Science Press, 2016.
[23]	王丽娟, 杜秀娟, 李冲 . 面向水声网络可靠传输的FDR编解码算法[J]. 通信学报, 2020,41(4): 81-91.
	WANG L J , DU X J , LI C . FDR coding and decoding algorithm for reliable transmission in underwater acoustic network[J]. Journal on Communications, 2020,41(4): 81-91.
[24]	李冲, 杜秀娟, 王丽娟 ,等. 基于规则与感知的水声网络 MAC 协议[J]. 通信学报, 2022,43(2): 65-75.
	LI C , DU X J , WANG L J ,et al. Rule and perception based MAC protocol for UAN[J]. Journal on Communications, 2022,43(2): 65-75.

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锚节点数量/个	定位误差/km
4（锚节点A₁~ A₄）	1×10^-5
5（锚节点A₁~A₅）	1.5×10^-5
6（锚节点A₁~A₆）	1×10^-5
7（锚节点A₁~A₇）	2.5×10^-6
8（锚节点A₁~A₈）	2×10^-6

[1]	Ming HE,Wen-hui LIANG,Qiu-li CHEN,Xi-liang CHEN,Jian CHEN. Optimization method through topology reconfiguration for mobile underwater wireless sensor networks [J]. Journal on Communications, 2015, 36(6): 78-87.
[2]	Xiao-min ZHAO,Hai-yang ZHANG,Yan JIN,Qing-zhang CHEN. Node localization scheme in wireless sensor networks under beacon drifting scenes [J]. Journal on Communications, 2015, 36(2): 38-47.
[3]	Lin-feng LIU,Ye LIU. Study of topology recovery algorithm based on full Steiner minimum tree problem in underwater wireless sensor networks [J]. Journal on Communications, 2010, 31(9): 31-38.
[4]	Fang ZHAO,Hai-yong LUO,Quan LIN,Yan MA. Node localization algorithm based on kernel function and Markov chains [J]. Journal on Communications, 2010, 31(11): 195-204.
[5]	Yan ZHOU,Hai-cheng LI. Space localization algorithm based RSSI in wireless sensor networks [J]. Journal on Communications, 2009, 30(6): 75-79.
[6]	Qing-jiang SHI,Chen HE. Multi-power level mobile beacon assisted distributed node localization algorithm [J]. Journal on Communications, 2009, 30(10): 8-13.
[7]	Man-tian XIANG,Hao-shan SHI,Li-hong LI,Cheng-zhi LONG. Novel high accuracy and coverage localization algorithm for wireless sensor networks [J]. Journal on Communications, 2008, 29(11): 19-23.
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Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics

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