In-body backscatter communication and localization

Deepak Vasisht, Guo Zhang, Omid Abari, Hsiao Ming Lu, Jacob Flanz, Dina Katabi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Backscatter requires zero transmission power, making it a compelling technology for in-body communication and localization. It can significantly reduce the battery requirements (and hence the size) of micro-implants and smart capsules, and enable them to be located on-the-move inside the body. The problem however is that the electrical properties of human tissues are very different from air and vacuum. This creates new challenges for both communication and localization. For example, signals no longer travel along straight lines, which destroys the geometric principles underlying many localization algorithms. Furthermore, the human skin backscatters the signal creating strong interference to the weak in-body backscatter transmission. These challenges make deep-tissue backscatter intrinsically different from backscatter in air or vacuum. This paper introduces ReMix, a new backscatter design that is particularly customized for deep tissue devices. It overcomes interference from the body surface, and localizes the in-body backscatter devices even though the signal travels along crooked paths. We have implemented our design and evaluated it in animal tissues and human phantoms. Our results demonstrate that ReMix delivers efficient communication at an average SNR of 15.2 dB at 1 MHz bandwidth, and has an average localization accuracy of 1.4cm in animal tissues.

Original languageEnglish (US)
Title of host publicationSIGCOMM 2018 - Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication
PublisherAssociation for Computing Machinery
Pages132-146
Number of pages15
ISBN (Electronic)9781450355674
DOIs
StatePublished - Aug 7 2018
Externally publishedYes
Event2018 Conference of the ACM Special Interest Group on Data Communication, ACM SIGCOMM 2018 - Budapest, Hungary
Duration: Aug 20 2018Aug 25 2018

Publication series

NameSIGCOMM 2018 - Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication

Other

Other2018 Conference of the ACM Special Interest Group on Data Communication, ACM SIGCOMM 2018
Country/TerritoryHungary
CityBudapest
Period8/20/188/25/18

ASJC Scopus subject areas

  • Communication
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Signal Processing

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