Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting
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Abstract (arXiv)
Nanoscale wireless networks are expected to revolutionize a variety of domains, with significant advances conceivable in in-body healthcare. In healthcare, these nanonetworks will consist of energy-harvesting nanodevices passively flowing through the bloodstream, taking actions at certain locations, and communicating results to more powerful Body Area Network (BAN) nodes. Assuming such a setup and electromagnetic nanocommunication in the Terahertz (THz) frequencies, we propose a network architecture that can support fine-grained localization of the energy-harvesting in-body nanonodes, as well as their two-way communication with the outside world. The main novelties of our proposal lie in the introduction of location-aware and Wake-up Radio (WuR)-based wireless nanocommunication paradigms, as well as Software-Defined Metamaterials (SDMs), to THz-operating energy-harvesting in-body nanonetworks. We argue that, on a high level, the proposed architecture can handle (and actually benefits from) a large number of nanonodes, while simultaneously dealing with a short range of THz in-body propagation and highly constrained nanonodes.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Jan 2021.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 1.
5 papers.
- 2023Insights from the Design Space Exploration of Flow-Guided Nanoscale Localizationcited by 3
- 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
- 2024Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activitiescited by 0
- 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
- 2024Tailoring Graph Neural Network-based Flow-guided Localization to Individual Bloodstreams and Activities2 Aug 2024
- 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
- 2023Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization29 May 2023