基于多auv协作的水声传感器网络低延迟源-位置-隐私保护方案

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiaojing Tian;Xiujuan Du;Xiuxiu Liu;Lijuan Wang;Lei Zhao
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引用次数: 0

摘要

近年来,为了保护水声传感器网络(uasn)中的源-位置-隐私(SLP),提出了一些通过多自主水下航行器(AUV)协同实现的方案。然而,这些方案的端到端延迟太长,导致数据传输不及时。为了解决这一问题并增强SLP保护,本文提出了一种基于多auv协作的低延迟SLP保护方案(LDSLP-MA)。在LDSLP-MA方案中,采用多路径路由和多auv协作等多路径技术来增强SLP保护。此外,通过对auv的驻留区域和目标区域进行战略性分配,可以最大限度地减少多auv调度的延迟,同时增强数据传输路径的多样性和SLP保护。具体而言,通过灰色关联分析选择最优目标区域。仿真结果表明,与其他方案相比,LDSLP-MA方案具有较长的安全周期、较低的能耗和较低的时延。值得注意的是,与基于多auv协作的SLP保护方案(如基于推送的SLP保护概率方法(PP-SLPP)和基于分层的SLP (SSLP))相比,LDSLP-MA将安全期提高了100%以上,延迟降低了82%以上,平均节点能耗降低了65%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Low-Delay Source-Location-Privacy Protection Scheme With Multi-AUV Collaboration for Underwater Acoustic Sensor Networks
In recent years, to protect source-location-privacy (SLP) in underwater acoustic sensor networks (UASNs), some schemes through the collaboration of multi-autonomous underwater vehicle (AUV) have been proposed. However, the long end-to-end delay in these schemes leads to untimely data delivery. To address this issue and enhance SLP protection, a low-delay SLP protection scheme with multi-AUV (LDSLP-MA) collaboration for UASNs is proposed in this article. In the LDSLP-MA scheme, a multipath technique including multipath routing as well as multi-AUV collaboration is employed to enhance SLP protection. Additionally, through strategically assigning dwelling and target areas for AUVs, the delay taken by multi-AUV scheduling is minimized while the diversity of data transmission paths and SLP protection is enhanced. Specifically, the optimal target area is selected through gray relational analysis. Simulation results demonstrate that the LDSLP-MA scheme achieves an extended safety period, decreased energy consumption, and reduced delay compared to other schemes. Notably, in comparison to multi-AUV collaboration-based SLP protection schemes like the push-based probabilistic method for SLP protection (PP-SLPP) and stratification-based SLP (SSLP), LDSLP-MA increases the safety period by over 100%, reduces delay by over 82%, and lowers average node energy consumption by over 65%.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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