首页|Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks

Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks

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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 clocklocalizationprivacy preser-vationunderwater sensor networks (USNs)

Haiyan Zhao、Jing Yan、Xiaoyuan Luo、Xinping Guan

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Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

This work was supported in part by the National Natural Science Foundation of ChinaThis work was supported in part by the National Natural Science Foundation of ChinaYouth Talent Support Program of HebeiYouth Talent Support Program of HebeiTeturned Overseas Chinese Scholar Foundation of HebeiNatural Science Foundation of HebeiPostgraduate Innovation Fund Project of Hebei

6187334561973263BJ2018050BJ2020031C201829F2020203002CXZZSS2019047

2020

10.1109/JAS.2020.1003312

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDCSCDSCIEI
ISSN：2329-9266
年,卷(期)：2020.7(6)
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