New Method of WSN Node Localization Based on MSVD

Abstract:

Node localization technology is one of the important research areas in Wireless Sensor Networks (WSN) applications. The coordinates of the unknown nodes can be determined by the Least Square Estimate (LSE), which is commonly used in WSN node localization. But in the experiments and applications, it is discovered that different spatial positions sometimes lead to large errors. This phenomenon is studied and it is found that the WSN node localization is an ill-posed problem. It is proposed that WSN nodes localization should be diagnosed by the condition number. If the ill-posed problem degree is weak, the node can be localized by LSE method. But if the ill-posed degree is serious, the eigenvalue close to zero should be diagnosed and the node is localized by the method of Modified Singular Value Decomposition (MSVD) Regularization. Test results indicate that the proposed mothod of WSN localization based on MSVD weaken the influence of the ill-posed problems, reduces the location errors to around 3 meters, and improve the accuracy of localization.

• Periodical: Advanced Materials Research (Volumes 562-564)
• Pages: 1819-1822
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.562-564.1819
• Online since: August 2012
• Authors: Lei Wang, Chen Cai
• Keywords: Condition Number, Ill-Posed Problem, MSVD, Node Localization, Wireless Sensor Network (WSN)

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DOI: 10.7498/aps.57.4182