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利用测地线搜索提取恶意锚节点以实现可生存的水下无线传感器网络

Malicious anchor node extraction using geodesic search for survivable underwater wireless sensor network.

作者信息

Reddy T Srinivasa, Chandra Saurabh, Arya Rajeev, Verma Ajit Kumar

机构信息

Wireless Sensor Networks Laboratory, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India.

Faculty of Engineering and Natural Sciences, Western Norway University of Applied Sciences, Haugesund, Norway.

出版信息

Sci Rep. 2022 Aug 11;12(1):13691. doi: 10.1038/s41598-022-17956-9.

DOI:10.1038/s41598-022-17956-9
PMID:35953697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9372161/
Abstract

Localization in underwater wireless sensor network (UWSN) faces an imminent threat when the triangulating anchor node starts to malfunction. Traditional geometric approaches are insufficient to cope with the survivability of UWSN topology. To address these issues, this paper presents a symplectic geometry for identification of the malicious anchor node. Consequently, a geodesic search algorithm (GSA) based Target localization is proposed which reduces the positioning error by exploiting the phase-space constancy of the underwater acoustic sensor network topology to effectively triangulate the target node despite its mobility. First, a malicious anchor node model is presented. The node movement is expressed in the form of "ripple region". GSA is then proposed which effectively frees the node metastasis from anchor node geometry, thereby making the underwater system more survivable and resilient. Simulation results evaluate the survivability of the geodesic formalism in terms of the reduced penalty incurred by node movement, as well as the reduced impact of anchor node malfunction. An improvement of 13.46% and 9.26% reveals the utility of the geodesic technique in aquamarine sensor deployments, which would be beneficial in underwater resource exploration and defense planning.

摘要

当用于三角测量的锚节点开始出现故障时,水下无线传感器网络(UWSN)中的定位面临紧迫威胁。传统的几何方法不足以应对UWSN拓扑的生存能力问题。为了解决这些问题,本文提出了一种用于识别恶意锚节点的辛几何方法。因此,提出了一种基于测地线搜索算法(GSA)的目标定位方法,该方法通过利用水下声学传感器网络拓扑的相空间恒定性来减少定位误差,从而在目标节点移动的情况下有效地对其进行三角测量。首先,提出了一个恶意锚节点模型。节点运动以“波纹区域”的形式表示。然后提出了GSA,它有效地将节点转移从锚节点几何结构中解放出来,从而使水下系统更具生存能力和弹性。仿真结果从节点移动所产生的惩罚减少以及锚节点故障的影响降低方面评估了测地线形式主义的生存能力。13.46%和9.26%的提升揭示了测地线技术在海蓝色传感器部署中的效用,这将有利于水下资源勘探和防御规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/57828c16dc2c/41598_2022_17956_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/c48160eee0f0/41598_2022_17956_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/6235ea41d839/41598_2022_17956_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/7113714636a6/41598_2022_17956_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/abc6f01ce63c/41598_2022_17956_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/57828c16dc2c/41598_2022_17956_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/c48160eee0f0/41598_2022_17956_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/6235ea41d839/41598_2022_17956_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/7113714636a6/41598_2022_17956_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/abc6f01ce63c/41598_2022_17956_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17f5/9372161/57828c16dc2c/41598_2022_17956_Fig5_HTML.jpg

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IEEE Trans Pattern Anal Mach Intell. 2021 Feb;43(2):579-594. doi: 10.1109/TPAMI.2019.2933209. Epub 2021 Jan 8.
2
Tradeoffs between trust and survivability for mission effectiveness in tactical networks.战术网络中任务效能的信任与生存性权衡。
IEEE Trans Cybern. 2015 Apr;45(4):754-66. doi: 10.1109/TCYB.2014.2335744. Epub 2014 Jul 23.
3
Riemannian-gradient-based learning on the complex matrix-hypersphere.基于黎曼梯度在复矩阵超球面上的学习
IEEE Trans Neural Netw. 2011 Dec;22(12):2132-8. doi: 10.1109/TNN.2011.2168537. Epub 2011 Oct 6.