NILGSPMay 29, 2023

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

arXiv:2305.18493v33 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for realistic and comparable evaluations in flow-guided localization for medical diagnostics, though it is incremental as it builds on existing methods.

The paper tackles the problem of non-standardized performance assessment in flow-guided nanoscale localization by evaluating two state-of-the-art approaches using heterogeneous metrics like accuracy and reliability, accounting for environmental and scale-related challenges.

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.

Foundations

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