We propose a fully distributed message passing algorithm based on expectation propagation for the purpose of sensor localization. Sensors perform noisy measurements of their mutual distances and their relative angles. These measurements form the basis for an iterative, local (i.e. distributed) algorithm to compute the sensor's locations including uncertainties for these estimates. This approach offers a distributed, computationally efficient and flexible framework for information fusion in sensor networks. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Welling, M., & Lim, J. J. (2007). A distributed message passing algorithm for sensor localization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4668 LNCS, pp. 767–775). Springer Verlag. https://doi.org/10.1007/978-3-540-74690-4_78
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