English

Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization

Networking and Internet Architecture 2024-08-05 v3 Machine Learning Signal Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2305.18493,
  title  = {Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization},
  author = {Filip Lemic and Gerard Calvo Bartra and Arnau Brosa López and Jorge Torres Gómez and Jakob Struye and Falko Dressler and Sergi Abadal and Xavier Costa Perez},
  journal= {arXiv preprint arXiv:2305.18493},
  year   = {2024}
}

Comments

6 pages, 4 figures, 2 tables, 14 references, accepted at ACM NanoCom'24