Cooperative robust localization against malicious anchors based on semi-definite programming

Dexin Wang, Liuqing Yang
{"title":"Cooperative robust localization against malicious anchors based on semi-definite programming","authors":"Dexin Wang, Liuqing Yang","doi":"10.1109/MILCOM.2012.6415656","DOIUrl":null,"url":null,"abstract":"Location awareness for wireless sensor networks has attracted significant interests in recent years. In hostile environments, there may be malicious attacks to mislead the location estimation of target nodes. In this paper, we propose a novel secured localization method by applying cooperative semi-definite programming (SDP) algorithm. We also introduce residual normalization to improve the SDP approximation. Cooperation enhances the capability to identify the compromised anchors and the accuracy of location estimation. SDP improves the reliability of the algorithm and the out-of-convex-hull performance. Simulation results are provided to demonstrate the aforementioned improvements.","PeriodicalId":18720,"journal":{"name":"MILCOM 2012 - 2012 IEEE Military Communications Conference","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 2012 - 2012 IEEE Military Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.2012.6415656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Location awareness for wireless sensor networks has attracted significant interests in recent years. In hostile environments, there may be malicious attacks to mislead the location estimation of target nodes. In this paper, we propose a novel secured localization method by applying cooperative semi-definite programming (SDP) algorithm. We also introduce residual normalization to improve the SDP approximation. Cooperation enhances the capability to identify the compromised anchors and the accuracy of location estimation. SDP improves the reliability of the algorithm and the out-of-convex-hull performance. Simulation results are provided to demonstrate the aforementioned improvements.
基于半确定规划的对抗恶意锚的协同鲁棒定位
无线传感器网络的位置感知技术近年来引起了人们极大的兴趣。在敌对环境下,可能存在恶意攻击,误导目标节点的位置估计。本文提出了一种基于协作半确定规划(SDP)算法的安全定位方法。我们还引入残差归一化来改进SDP近似。合作提高了识别受损锚的能力和位置估计的准确性。SDP提高了算法的可靠性和非凸船体性能。仿真结果证明了上述改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信