Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 4 of its 14 references that are in the map. First posted on arXiv 29 May 2023.
Builds on
4 of 14 references.
References · 4
- 2019Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspectivecited by 5
- 2021Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvestingcited by 5
- 2023Toward Standardized Performance Evaluation of Flow-guided Nanoscale Localizationcited by 5
- 2021In-body Bionanosensor Localization for Anomaly Detection via Inertial Positioning and THz Backscattering Communicationcited by 4
Built on by
Citing papers per year: 2023: 2; 2024: 0; 2025: 1.
3 papers.
- 2023Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Datacited by 2
- 2023Analytical Modelling of Raw Data for Flow-Guided In-body Nanoscale Localizationcited by 1
- 2025Set Transformer Architectures and Synthetic Data Generation for Flow-Guided Nanoscale Localizationcited by 0
- 2025Set Transformer Architectures and Synthetic Data Generation for Flow-Guided Nanoscale Localization22 Aug 2025
- 2023Analytical Modelling of Raw Data for Flow-Guided In-body Nanoscale Localization27 Sep 2023
- 2023Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data9 Jul 2023