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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