Title | Privacy Preserving Localization Algorithm for Underwater Sensor Networks |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Meng, Yuan, Yan, Jing, Yang, Xian, Luo, Xiaoyuan |
Conference Name | 2020 39th Chinese Control Conference (CCC) |
Date Published | July 2020 |
Publisher | IEEE |
ISBN Number | 978-9-8815-6390-3 |
Keywords | acoustic ray compensations, Acoustics, asynchronous clock, Clocks, compositionality, Global Positioning System, Human Behavior, location privacy, Location Privacy in Wireless Networks, Metrics, privacy, privacy preserving, propagation delay, Protocols, pubcrawl, resilience, Resiliency, Underwater sensor networks (USNs), wireless networks, Wireless sensor networks |
Abstract | The position information leakage of under-water sensor networks has been widely concerned. However, the underwater environment has unique characteristics compared with the terrestrial environment, for example, the asynchronous clock, stratification compensation. Therefore, the privacy preserving localization algorithm for terrestrial is not suitable. At present, the proposed privacy preserving localization algorithm is at the cost of reducing the localization accuracy and increasing the complexity of the algorithm. In this paper, a privacy preserving localization algorithm for underwater sensor networks with ray compensation is proposed. Besides, the localization algorithm we designed hides the position information of anchor nodes, and eliminates the influence of asynchronous clock. More importantly, the positioning accuracy is improved. Finally, the simulation results show that the location algorithm with privacy preserving and without privacy preserving have the same location accuracy. In addition, the algorithm proposed in this paper greatly improves the positioning accuracy compared with the existing work. |
URL | https://ieeexplore.ieee.org/document/9188953 |
DOI | 10.23919/CCC50068.2020.9188953 |
Citation Key | meng_privacy_2020 |