Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916343251468288 |
|---|---|
| author | Lemic, Filip Bartra, Gerard Calvo López, Arnau Brosa Gómez, Jorge Torres Struye, Jakob Dressler, Falko Abadal, Sergi Perez, Xavier Costa |
| author_facet | Lemic, Filip Bartra, Gerard Calvo López, Arnau Brosa Gómez, Jorge Torres Struye, Jakob Dressler, Falko Abadal, Sergi Perez, Xavier Costa |
| contents | Nanodevices with Terahertz (THz)-based wireless communication capabilities are providing a primer for flow-guided localization within the human bloodstreams. Such localization is allowing for assigning the locations of sensed events with the events themselves, providing benefits along the lines of early and precise diagnostics, and reduced costs and invasiveness. Flow-guided localization is still in a rudimentary phase, with only a handful of works targeting the problem. Nonetheless, the performance assessments of the proposed solutions are already carried out in a non-standardized way, usually along a single performance metric, and ignoring various aspects that are relevant at such a scale (e.g., nanodevices' limited energy) and for such a challenging environment (e.g., extreme attenuation of in-body THz propagation). As such, these assessments feature low levels of realism and cannot be compared in an objective way. Toward addressing this issue, we account for the environmental and scale-related peculiarities of the scenario and assess the performance of two state-of-the-art flow-guided localization approaches along a set of heterogeneous performance metrics such as the accuracy and reliability of localization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_18493 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization Lemic, Filip Bartra, Gerard Calvo López, Arnau Brosa Gómez, Jorge Torres Struye, Jakob Dressler, Falko Abadal, Sergi Perez, Xavier Costa Networking and Internet Architecture Machine Learning Signal Processing Nanodevices with Terahertz (THz)-based wireless communication capabilities are providing a primer for flow-guided localization within the human bloodstreams. Such localization is allowing for assigning the locations of sensed events with the events themselves, providing benefits along the lines of early and precise diagnostics, and reduced costs and invasiveness. Flow-guided localization is still in a rudimentary phase, with only a handful of works targeting the problem. Nonetheless, the performance assessments of the proposed solutions are already carried out in a non-standardized way, usually along a single performance metric, and ignoring various aspects that are relevant at such a scale (e.g., nanodevices' limited energy) and for such a challenging environment (e.g., extreme attenuation of in-body THz propagation). As such, these assessments feature low levels of realism and cannot be compared in an objective way. Toward addressing this issue, we account for the environmental and scale-related peculiarities of the scenario and assess the performance of two state-of-the-art flow-guided localization approaches along a set of heterogeneous performance metrics such as the accuracy and reliability of localization. |
| title | Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization |
| topic | Networking and Internet Architecture Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2305.18493 |