Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements

By Pratik K. Biswas, Tzu-Chen Liang, Kim-Chuan Toh, Yinyu Ye, Ta-Chung Wang. IEEE Transactions on Automation Science and Engineering, 2006

509 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Euclidean Distance Geometry and Applications (2012, background): “Biswas and Ye proposed in [27] an SDP formulation of the WSNL problem which then gave rise to a series of papers [23, 28, 24, 22, 25, 26] focusing on algorithmic exploitations of their formulation.”
Angular Synchronization by Eigenvectors and Semidefinite Programming (2009, unknown): “Other possible applications of the synchronization problem over SO(3) include the distance geometry problem in NMR spectroscopy [42,21] and the localization of sensor networks [4,31].”
3D Human Pose Estimation from a Single Image via Distance Matrix Regression (2016, methodology): “Finally, the position of the 3D joints is estimated via a ‘reﬂexion-aware’ Multidimensional Scaling approach [7].”
Approximation accuracy, gradient methods, and error bound for structured convex optimization (2010, background): “How well does (10) approximate (9)? A fourth problem of much recent interest is that of ad hoc wireless sensor network localization [4,18,19,21,22,31,38,39,49,73,75,128].”