In-body backscatter communication and localization
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 p...
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM Press
2019
|
| Online Access: | https://hdl.handle.net/1721.1/121551 |
| _version_ | 1826195514479083520 |
|---|---|
| author | Vasisht, Deepak Zhang, Guo Abari, Omid Lu, Hsiao-Ming Flanz, Jacob Katabi, Dina |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Vasisht, Deepak Zhang, Guo Abari, Omid Lu, Hsiao-Ming Flanz, Jacob Katabi, Dina |
| author_sort | Vasisht, Deepak |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:13:57Z |
| format | Article |
| id | mit-1721.1/121551 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:13:57Z |
| publishDate | 2019 |
| publisher | ACM Press |
| record_format | dspace |
| spelling | mit-1721.1/1215512022-09-30T19:47:28Z In-body backscatter communication and localization Vasisht, Deepak Zhang, Guo Abari, Omid Lu, Hsiao-Ming Flanz, Jacob Katabi, Dina Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 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. 2019-07-09T18:36:02Z 2019-07-09T18:36:02Z 2018-08 2019-06-06T18:11:52Z Article http://purl.org/eprint/type/ConferencePaper 9781450355674 https://hdl.handle.net/1721.1/121551 Vasisht, Deepak, et al. “In-Body Backscatter Communication and Localization.” Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication - SIGCOMM ’18, Budapest, Hungary, 20-25 August, 2018, ACM Press, 2018, pp. 132–46. en 10.1145/3230543.3230565 Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf ACM Press MIT web domain |
| spellingShingle | Vasisht, Deepak Zhang, Guo Abari, Omid Lu, Hsiao-Ming Flanz, Jacob Katabi, Dina In-body backscatter communication and localization |
| title | In-body backscatter communication and localization |
| title_full | In-body backscatter communication and localization |
| title_fullStr | In-body backscatter communication and localization |
| title_full_unstemmed | In-body backscatter communication and localization |
| title_short | In-body backscatter communication and localization |
| title_sort | in body backscatter communication and localization |
| url | https://hdl.handle.net/1721.1/121551 |
| work_keys_str_mv | AT vasishtdeepak inbodybackscattercommunicationandlocalization AT zhangguo inbodybackscattercommunicationandlocalization AT abariomid inbodybackscattercommunicationandlocalization AT luhsiaoming inbodybackscattercommunicationandlocalization AT flanzjacob inbodybackscattercommunicationandlocalization AT katabidina inbodybackscattercommunicationandlocalization |