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

Dexin Wang; Liuqing Yang

doi:10.1109/MILCOM.2012.6415656

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

Dexin Wang, Liuqing Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

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.

Original language	English (US)
Title of host publication	MILCOM 2012 - 2012 IEEE Military Communications Conference
DOIs	https://doi.org/10.1109/MILCOM.2012.6415656
State	Published - 2012
Externally published	Yes
Event	2012 IEEE Military Communications Conference, MILCOM 2012 - Orlando, FL, United States Duration: Nov 1 2012 → Nov 1 2012

Publication series

Name	Proceedings - IEEE Military Communications Conference MILCOM

Other

Other	2012 IEEE Military Communications Conference, MILCOM 2012
Country/Territory	United States
City	Orlando, FL
Period	11/1/12 → 11/1/12

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10.1109/MILCOM.2012.6415656

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Wang, D & Yang, L 2012, Cooperative robust localization against malicious anchors based on semi-definite programming. in MILCOM 2012 - 2012 IEEE Military Communications Conference., 6415656, Proceedings - IEEE Military Communications Conference MILCOM, 2012 IEEE Military Communications Conference, MILCOM 2012, Orlando, FL, United States, 11/1/12. https://doi.org/10.1109/MILCOM.2012.6415656

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title = "Cooperative robust localization against malicious anchors based on semi-definite programming",

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.",

author = "Dexin Wang and Liuqing Yang",

year = "2012",

doi = "10.1109/MILCOM.2012.6415656",

language = "English (US)",

isbn = "9781467317290",

series = "Proceedings - IEEE Military Communications Conference MILCOM",

booktitle = "MILCOM 2012 - 2012 IEEE Military Communications Conference",

note = "2012 IEEE Military Communications Conference, MILCOM 2012 ; Conference date: 01-11-2012 Through 01-11-2012",

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AU - Wang, Dexin

AU - Yang, Liuqing

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:84874295103

SN - 9781467317290

T3 - Proceedings - IEEE Military Communications Conference MILCOM

BT - MILCOM 2012 - 2012 IEEE Military Communications Conference

T2 - 2012 IEEE Military Communications Conference, MILCOM 2012

Y2 - 1 November 2012 through 1 November 2012

ER -

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

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