• DocumentCode
    1772877
  • Title

    Energy efficient radio tomographic imaging

  • Author

    Khaledi, Mojgan ; Kasera, Sneha Kumar ; Patwari, Neal ; Bocca, Maurizio

  • Author_Institution
    Sch. of Comput., Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    609
  • Lastpage
    617
  • Abstract
    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.
  • Keywords
    energy consumption; imaging; tomography; wireless sensor networks; RTI-based methods; attenuation image; device free localization; energy consumption; energy efficient radio tomographic imaging; localization error; radio frequency sensor networks; radius-based approach; Accuracy; Attenuation; Energy consumption; Radio frequency; Tomography; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing, Communication, and Networking (SECON), 2014 Eleventh Annual IEEE International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SAHCN.2014.6990401
  • Filename
    6990401