TY - GEN
T1 - In-body backscatter communication and localization
AU - Vasisht, Deepak
AU - Zhang, Guo
AU - Abari, Omid
AU - Lu, Hsiao Ming
AU - Flanz, Jacob
AU - Katabi, Dina
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/8/7
Y1 - 2018/8/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85056419316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056419316&partnerID=8YFLogxK
U2 - 10.1145/3230543.3230565
DO - 10.1145/3230543.3230565
M3 - Conference contribution
AN - SCOPUS:85056419316
T3 - SIGCOMM 2018 - Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication
SP - 132
EP - 146
BT - SIGCOMM 2018 - Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication
PB - Association for Computing Machinery
T2 - 2018 Conference of the ACM Special Interest Group on Data Communication, ACM SIGCOMM 2018
Y2 - 20 August 2018 through 25 August 2018
ER -