A novel subspace approach for cooperative localization in wireless sensor networks using range measurements

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)260-269
Journal / PublicationIEEE Transactions on Signal Processing
Issue number1
Publication statusPublished - 2009


Estimating the positions of sensor nodes is a fundamental and crucial problem in wireless sensor networks. In this paper, three novel subspace methods for node localization in a fully connected network are devised with the use of range measurements. Biases and mean square errors of the sensor node position estimates are also derived. Computer simulations are included to contrast the performance of the proposed algorithms with the conventional subspace positioning method, namely, classical multidimensional scaling, as well as Cramér-Rao lower bound. © 2008 IEEE.

Research Area(s)

  • Position estimation, Range-based measurements, Subspace method, Wireless sensor networks