Node Deployment under Position Uncertainty for Network Localization
Network localization performance depends on the network geometry and, therefore, node deployment methods are critical for high-accuracy localization. Optimal node deployment is challenging in practical problems due to various uncertainties present in the position knowledge of the deployed nodes. In...
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Published in | IEEE International Conference on Communications (2003) pp. 889 - 894 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
16.05.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1938-1883 |
DOI | 10.1109/ICC45855.2022.9839158 |
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Abstract | Network localization performance depends on the network geometry and, therefore, node deployment methods are critical for high-accuracy localization. Optimal node deployment is challenging in practical problems due to various uncertainties present in the position knowledge of the deployed nodes. In this paper, we propose a node-deployment method for network localization that accounts for such uncertainties. We develop a framework for the optimal deployment of location-aware networks under bounded disturbances in the positions of the sensing nodes. More specifically, by considering bounded discrepancies in the network geometry, we characterize the optimal deployment according to the D-optimality criterion and assert its implications for the A-optimality and E-optimality criteria. Results show that the proposed optimization-based design achieves a significative improvement according to the D-optimality criterion. |
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AbstractList | Network localization performance depends on the network geometry and, therefore, node deployment methods are critical for high-accuracy localization. Optimal node deployment is challenging in practical problems due to various uncertainties present in the position knowledge of the deployed nodes. In this paper, we propose a node-deployment method for network localization that accounts for such uncertainties. We develop a framework for the optimal deployment of location-aware networks under bounded disturbances in the positions of the sensing nodes. More specifically, by considering bounded discrepancies in the network geometry, we characterize the optimal deployment according to the D-optimality criterion and assert its implications for the A-optimality and E-optimality criteria. Results show that the proposed optimization-based design achieves a significative improvement according to the D-optimality criterion. |
Author | Conti, Andrea Khojasteh, Mohammad Javad Win, Moe Z. Liu, Zhenyu Saucan, Augustin A. |
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Snippet | Network localization performance depends on the network geometry and, therefore, node deployment methods are critical for high-accuracy localization. Optimal... |
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SubjectTerms | Communication networks Conferences Fisher information Geometry Location awareness network localization node deployment Performance gain sensor network Sensors Uncertainty |
Title | Node Deployment under Position Uncertainty for Network Localization |
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