Localization from connectivity in sensor networks

By Yi Shang, Wheeler Ruml, Y. Zhang, Markus P. J. Fromherz. IEEE Transactions on Parallel and Distributed Systems, 2004

590 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.

Indoor Positioning Technologies (2012, methodology): “Given a set of pairwise distances in presence of large range measurement noise, the location approach using MDS has outperformed proximity based algorithms (Shang et al. 2004).”
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, methodology): “To tackle this difficult problem, we present MDS-MAP(P) (Shang et al., 2004).”
A Theoretical Foundation of Network Localization and Navigation (2018, unknown): “[106] Y.”
Wireless sensor network localization techniques (2007, methodology): “, ‘‘who is within the communications range of whom’’ [85] to estimate the locations of the nonanchor nodes.”
A Survey on Localization for Mobile Wireless Sensor Networks (2009, methodology): “An alternative approach is the range-free method ([39], [63], [58]), whereby a node is localized to the region in which it is detected.”
Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements (2006, background): “The ad hoc sensor network localization problem is: assuming the accurate positions o f some nodes (called anchors) are known, how to use them and partial pair-wise distance measurements to locate the posi tion of all sensor nodes in the network, see [3], [4], [5], [6], [7], [8], [9], [10], [11].”