Clustering of Wireless Sensors based on Ultra-Wideband Geo-Regioning
AuthorsChristoph Steiner and Armin Wittneben
ReferenceAsilomar Conference on Signals, Systems, and Computers, Pacific Grove, USA, Nov. 2007.
AbstractThis paper introduces a novel approach for the clustering of Ultra-Wideband sensor nodes based on their channel impulse responses (CIRs) to a central unit. It is proposed to model the CIRs as realizations of a Gaussian mixture density, in which the individual component probability density functions represent the clusters. It is shown that the clustering can be simply achieved by the application of the expectation maximization algorithm. Furthermore, this work studies the impact of a-priori knowledge and the number of available CIR observations on the clustering performance, which is evaluated based on measured CIRs.
Download this document:
Copyright Notice: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.