Node Deployment under Position Uncertainty for Network Localization

• Published in: IEEE International Conference on Communications (2003) pp. 889 - 894
• Main Authors: Khojasteh, Mohammad Javad, Saucan, Augustin A., Liu, Zhenyu, Conti, Andrea, Win, Moe Z.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.05.2022
• Subjects: Communication networks; Conferences; Fisher information; Geometry; Location awareness; network localization; node deployment; Performance gain; sensor network; Sensors; Uncertainty
• ISSN: 1938-1883
• DOI: 10.1109/ICC45855.2022.9839158

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.