Energy efficient radio tomographic imaging

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Publication Type pre-print
School or College College of Engineering
Department Computing, School of
Creator Kasera, Sneha K.
Other Author Khaledi, Mojgan; Patwari, Neal; Bocca, Maurizio
Title Energy efficient radio tomographic imaging
Date 2014-01-01
Description In this paper, our goal is to develop approaches to reduce the energy consumption in Radio Tomographic Imaging (RTI)-based methods for device free localization without giving up localization accuracy. Our key idea is to only measure those links that are near the current location of the moving object being tracked. We propose two approaches to find the most effective links near the tracked object. In our first approach, we only consider links that are in an ellipse around the current velocity vector of the moving object. In our second approach, we only consider links that cross through a circle with radius r from the current position of the moving object. Thus, rather than creating an attenuation image of the whole area in RTI, we only create the attenuation image for effective links in a small area close to the current location of the moving object. We also develop an adaptive algorithm for determining r. We evaluate the proposed approaches in terms of energy consumption and localization error in three different test areas. Our experimental results show that using our approach, we are able to save 50% to 80% of energy. Interestingly, we find that our radius-based approach actually increases the accuracy of localization.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 609
Last Page 617
Language eng
Bibliographic Citation Khaledi, M., Kasera, S. K., Patwari, N., & Bocca, M. (2014). Energy efficient radio tomographic imaging. 2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking, 6990401, 609-17.
Rights Management (c) 2014 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.
Format Medium application/pdf
Format Extent 453,022 bytes
Identifier uspace,19278
ARK ark:/87278/s66h7shf
Setname ir_uspace
Date Created 2015-02-13
Date Modified 2021-05-06
ID 712818
Reference URL https://collections.lib.utah.edu/ark:/87278/s66h7shf
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