TY - GEN
T1 - Cooperative robust localization against malicious anchors based on semi-definite programming
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.
UR - http://www.scopus.com/inward/record.url?scp=84874295103&partnerID=8YFLogxK
U2 - 10.1109/MILCOM.2012.6415656
DO - 10.1109/MILCOM.2012.6415656
M3 - Conference Paper published in a book
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 -