Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks

Haiyan Zhao; Jing Yan; Xiaoyuan Luo; Xinping Guan

doi:10.1109/JAS.2020.1003312

Volume 7 Issue 6

Oct. 2020

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2020 > 7(6): 1511-1527

Haiyan Zhao, Jing Yan, Xiaoyuan Luo and Xinping Guan, "Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1511-1527, Nov. 2020. doi: 10.1109/JAS.2020.1003312

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Haiyan Zhao, Jing Yan, Xiaoyuan Luo and Xinping Guan, "Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks," IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1511-1527, Nov. 2020. doi: 10.1109/JAS.2020.1003312

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Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks

doi: 10.1109/JAS.2020.1003312

Funds: This work was supported in part by the National Natural Science Foundation of China (61873345, 61973263), the Youth Talent Support Program of Hebei (BJ2018050, BJ2020031), the Teturned Overseas Chinese Scholar Foundation of Hebei (C201829), the Natural Science Foundation of Hebei (F2020203002), and the Postgraduate Innovation Fund Project of Hebei (CXZZSS2019047)

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Author Bio:
Haiyan Zhao received the B.S. degree in automation from Yanshan University, in 2017. Currently, she is pursuing the Ph.D. degree in control theory and control engineering at Yanshan University, Qinhuangdao. Her research interests include cyberphysical systems, robot control, and networked sensor networks

Jing Yan (M’16) received the B.Eng. degree in automation from Henan University, in 2008, and the Ph.D. degree in control theory and control engineering from Yanshan University, in 2014. In 2014, he was a Research Assistant with the Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University. In 2016, he was a Research Associate with University of Texas at Arlington, Arlington, US. He is currently an Associate Professor with Yanshan University.His research interests include underwater sensor networks, networked teleoperation systems, and cyberphysical systems. He has authored over 20 referred international journal and conference papers. He is the inventor of three patents. He was a recipient of the competitive National Graduate Scholarship from the Ministry of Education of China in 2012. He received the Excellence Paper Award from the National Doctoral Academic Forum of System Control and Information Processing in 2012, the Science and Technology Innovation Award from Yanshan University in 2013, and the Excellence Adviser from Oceanology International Underwater Robot Competition in 2017

Xiaoyuan Luo received the M. Eng. and Ph.D. degrees from the Institute of Electrical Engineering, Yanshan University, in 2001 and 2004, respectively. He is currently a Professor at Yanshan University. His research interests include fault detection and fault tolerant control, multiagent, and networked control systems. He received the Excellence Adviser from Oceanology International Underwater Robot Competition in 2017

Xinping Guan (F’18) is currently a Chair Professor of Shanghai Jiao Tong University, where he is the Deputy Director of University Research Management Office, and the Director of the Key Laboratory of Systems Control and Information Processing, Ministry of Education of China. Before that, he was the Professor and Dean of Electrical Engineering, Yanshan University. Prof. Guan’s current research interests include industrial cyber-physical systems, wireless networking and applications in smart city and smart factory, and underwater sensor networks. He has authored and/or coauthored 4 research monographs, more than 270 papers in IEEE Transactions and other peer-reviewed journals, and numerous conference papers. As a Principal Investigator, he has finished/been working on many national key projects. He is the leader of the prestigious Innovative Research Team of the National Natural Science Foundation of China (NSFC). Dr. Guan is an Executive Committee Member of Chinese Automation Association Council and the Chinese Artificial Intelligence Association Council. He received the First Prize of Natural Science Award from the Ministry of Education of China in 2006 and 2016, respectively, and the Second Prize of the National Natural Science Award of China in 2008. He was a recipient of the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2008. He is a National Outstanding Youth Honored by NSFC, Changjiang Scholar by the Ministry of Education of China and State-level Scholar of New Century Bai Qianwan Talent Program of China
Corresponding author: H. Y. Zhao, J. Yan, and X. Y. Luo are with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China (e-mail: hyzhao@stumail.ysu.edu.cn; jyan@ysu.edu.cn; xyluo@ysu.edu.cn)
Received Date: 2020-04-26
Accepted Date: 2020-05-28

Available Online: 2020-07-13

Abstract

Abstract

Location estimation of underwater sensor networks (USNs) has become a critical technology, due to its fundamental role in the sensing, communication and control of ocean volume. However, the asynchronous clock, security attack and mobility characteristics of underwater environment make localization much more challenging as compared with terrestrial sensor networks. This paper is concerned with a privacy-preserving asynchronous localization issue for USNs. Particularly, a hybrid network architecture that includes surface buoys, anchor nodes, active sensor nodes and ordinary sensor nodes is constructed. Then, an asynchronous localization protocol is provided, through which two privacy-preserving localization algorithms are designed to estimate the locations of active and ordinary sensor nodes. It is worth mentioning that, the proposed localization algorithms reveal disguised positions to the network, while they do not adopt any homomorphic encryption technique. More importantly, they can eliminate the effect of asynchronous clock, i.e., clock skew and offset. The performance analyses for the privacy-preserving asynchronous localization algorithms are also presented. Finally, simulation and experiment results reveal that the proposed localization approach can avoid the leakage of position information, while the location accuracy can be significantly enhanced as compared with the other works.
- Asynchronous clock,
- localization,
- privacy preservation,
- underwater sensor networks (USNs)

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References

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Highlights

Asynchronous clock, mobility and privacy preservation are together considered.
Asynchronous localization protocol can effectively eliminate asynchronous clock.
Asynchronous localization algorithm can effectively hide privacy information.
Location accuracy can be guaranteed as compared with the others works.

Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks

doi: 10.1109/JAS.2020.1003312

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通讯作者: 陈斌, bchen63@163.com

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