<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Incremental localization algorithm is a distributed localization method with excellent characteristics for wireless network. However, its estimated result is generally influenced by the heteroscedasticity arising from cumulative errors and the collineation among anchor nodes. We have proposed a novel incremental localization algorithm with consideration to cumulative errors and collinearity among anchors. Using iteratively reweighted and regularized method, the algorithm reduces the influences of errors accumulation and avoids collinearity problem between anchors. Simulation experiment results show that compared with the previous incremental localization algorithms, the proposed algorithm obtains a localization solution which not only has high accuracy but also high stability. Therefore, the proposed algorithm is suitable for different deployment environments and has high adaptability.</p></abstract>

Incremental localization algorithm is a distributed localization method with excellent characteristics for wireless network. However, its estimated result is generally influenced by the heteroscedasticity arising from cumulative errors and the collineation among anchor nodes. We have proposed a novel incremental localization algorithm with consideration to cumulative errors and collinearity among anchors. Using iteratively reweighted and regularized method, the algorithm reduces the influences of errors accumulation and avoids collinearity problem between anchors. Simulation experiment results show that compared with the previous incremental localization algorithms, the proposed algorithm obtains a localization solution which not only has high accuracy but also high stability. Therefore, the proposed algorithm is suitable for different deployment environments and has high adaptability.

Incremental Localization Algorithm Based on Regularized Iteratively Reweighted Least Square

1. School of Intelligence Science and Control Engineering, Jinling Institute of Technology, Nanjing,

2. Remote Measurement and Control Key Lab of Jiangsu Province, Nanjing,

3. School of Intelligence Science and Control Engineering, Jinling Institute of Technology, Nanjing,

4. School of Computer Engineering, Jinling Institute of Technology, Nanjing,

5. School of Software and Microelectronics, Northwestern polytechnical university, Xi’an,

6. School of Instrument Science and Engineering, Southeast University, Nanjing,

7. Remote Measurement and Control Key Lab of Jiangsu Province, Nanjing,

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Incremental localization algorithm is a distributed localization method with excellent characteristics for wireless network. However, its estimated result is...

Incremental Localization Algorithm Based on Regularized Iteratively Reweighted Least Square

Publié en ligne: 24 sept. 2016

Pages: 183 - 196

DOI: https://doi.org/10.1515/fcds-2016-0011

Mots clés
wireless network, incremental localization, regularized iteratively reweighted least square, heteroscedasticity

© 2016 Xiaoyong Yan et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Incremental Localization Algorithm Based on Regularized Iteratively Reweighted Least Square

Publié en ligne: 24 sept. 2016

Pages: 183 - 196

DOI: https://doi.org/10.1515/fcds-2016-0011

Mots cléswireless network, incremental localization, regularized iteratively reweighted least square, heteroscedasticity

© 2016 Xiaoyong Yan et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
wireless network, incremental localization, regularized iteratively reweighted least square, heteroscedasticity