Magnetic Backscatter for In-body Communication and Localization

Bill Tao, Emerson Sie, Jay Shenoy, Deepak Vasisht

Research output: Contribution to journalConference articlepeer-review

Abstract

Implantable and edible medical devices promise to provide continuous, directed, and comfortable healthcare treatments. Communicating with such devices and localizing them is a fundamental, but challenging, mobile networking problem. Recent work has focused on leveraging near field magnetism-based systems to avoid the challenges of attenuation, refraction, and reflection experienced by radio waves. However, these systems suffer from limited range, and require fingerprinting-based localization techniques. We present InnerCompass, a magnetic backscatter system for in-body communication and localization. InnerCompass relies on new magnetism-native design insights that enhance the range of these devices. We design the first analytical model for magnetic-field-based localization, that generalizes across different scenarios. We've implemented InnerCompass and evaluated it in porcine tissue. Our results show that Inner-Compass can communicate at 5 Kbps at a distance of 25 cm, and localize with an accuracy of 5 mm.

Original languageEnglish (US)
Pages (from-to)1315-1329
Number of pages15
JournalProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
DOIs
StatePublished - 2023
Event29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 - Madrid, Spain
Duration: Oct 2 2023Oct 6 2023

Keywords

  • in-body computing
  • localization
  • magnetism

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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