Slocalization: Accurate Asset Tracking with Ultra Wideband Backscatter
Benjamin Kempke, Pat Pannuto, Prabal Dutta

Citation
Benjamin Kempke, Pat Pannuto, Prabal Dutta. "Slocalization: Accurate Asset Tracking with Ultra Wideband Backscatter". 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017), ACM, 5, November, 2017.

Abstract
Ultra wideband technology has shown incredible promise for providing high-quality location estimation, even in indoor complex multipath environments, but existing ultra wideband systems require tens to hundreds of milliwatts during operation. Backscatter communication has demonstrated the viability of astonishingly lowpower tags, but has thus far been restricted to low (localization) resolution narrowband systems. We combine these technologies to capture the best of both worlds and create Slocalization, an ultra wideband backscatter localization system that realizes decimeter-accurate localization of a static tag in complex indoor environments for less than one microwatt. This ultra-low energy budget could allow the tag to operate for over 50 years on single coin cell battery or completely battery-free with less than 5 cm2 of photovoltaic cells indoors. The key insight underlying Slocalization is that the vast majority of things in the world do not move. Thus instead of localizing on the order of milliseconds, Slocalization estimates locations on the order of millihertz. To prove the viability of this concept, we implement an energy-harvesting Slocalization tag and find that Slocalization can locate this tag with a mean 3D Euclidean error of only 30 cm.

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Citation formats  
  • HTML
    Benjamin Kempke, Pat Pannuto, Prabal Dutta. <a
    href="http://www.terraswarm.org/pubs/958.html"
    >Slocalization: Accurate Asset Tracking with Ultra
    Wideband Backscatter</a>, 15th ACM Conference on
    Embedded Networked Sensor Systems (SenSys 2017), ACM, 5,
    November, 2017.
  • Plain text
    Benjamin Kempke, Pat Pannuto, Prabal Dutta.
    "Slocalization: Accurate Asset Tracking with Ultra
    Wideband Backscatter". 15th ACM Conference on Embedded
    Networked Sensor Systems (SenSys 2017), ACM, 5, November,
    2017.
  • BibTeX
    @inproceedings{KempkePannutoDutta17_SlocalizationAccurateAssetTrackingWithUltraWideband,
        author = {Benjamin Kempke and Pat Pannuto and Prabal Dutta},
        title = {Slocalization: Accurate Asset Tracking with Ultra
                  Wideband Backscatter},
        booktitle = {15th ACM Conference on Embedded Networked Sensor
                  Systems (SenSys 2017)},
        organization = {ACM},
        day = {5},
        month = {November},
        year = {2017},
        abstract = {Ultra wideband technology has shown incredible
                  promise for providing high-quality location
                  estimation, even in indoor complex multipath
                  environments, but existing ultra wideband systems
                  require tens to hundreds of milliwatts during
                  operation. Backscatter communication has
                  demonstrated the viability of astonishingly
                  lowpower tags, but has thus far been restricted to
                  low (localization) resolution narrowband systems.
                  We combine these technologies to capture the best
                  of both worlds and create Slocalization, an ultra
                  wideband backscatter localization system that
                  realizes decimeter-accurate localization of a
                  static tag in complex indoor environments for less
                  than one microwatt. This ultra-low energy budget
                  could allow the tag to operate for over 50 years
                  on single coin cell battery or completely
                  battery-free with less than 5 cm2 of photovoltaic
                  cells indoors. The key insight underlying
                  Slocalization is that the vast majority of things
                  in the world do not move. Thus instead of
                  localizing on the order of milliseconds,
                  Slocalization estimates locations on the order of
                  millihertz. To prove the viability of this
                  concept, we implement an energy-harvesting
                  Slocalization tag and find that Slocalization can
                  locate this tag with a mean 3D Euclidean error of
                  only 30 cm. },
        URL = {http://terraswarm.org/pubs/958.html}
    }
    

Posted by Mary Stewart on 24 May 2017.
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