A Non-Line-of-Sight mitigation localization algorithm for sensor networks using clustering analysis |
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Authors: | Dayang SunAuthor Vitae Hongrun ZhangAuthor VitaeZhihong Qian |
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Affiliation: | College of Communication Engineering, Jilin University, Changchun 130012, China |
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Abstract: | Non-Line-of-Sight propagation of wireless signal has an impact on measured distances in range-based localization and will bias the final localization results. A new localization algorithm is proposed in this paper to mitigate Non-Line-of-Sight errors when there are more than enough anchor nodes deployed around the node to be located. This algorithm utilizes multi-round clustering analysis to filter the pre-located estimators which derive from all possible subsets of measured distances. In each round, the method density-based spatial clustering of applications with noise is adopted. Simulations show that the proposed algorithm can effectively improve localization accuracy not only when the measured distances with Non-Line-of-Sight error are minor but also under the condition that all of them suffer random Non-Line-of-Sight error. |
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