Research Article
Distance Estimation for Molecular Communication in Blood Vessel
@INPROCEEDINGS{10.1007/978-3-030-95593-9_18, author={Yu Li and Zhongke Ma and Hao Yan and Jie Luo and Lin Lin}, title={Distance Estimation for Molecular Communication in Blood Vessel}, proceedings={Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings}, proceedings_a={BODYNETS}, year={2022}, month={2}, keywords={Molecular communication Blood vessel Blood velocity Distance estimation}, doi={10.1007/978-3-030-95593-9_18} }- Yu Li
Zhongke Ma
Hao Yan
Jie Luo
Lin Lin
Year: 2022
Distance Estimation for Molecular Communication in Blood Vessel
BODYNETS
Springer
DOI: 10.1007/978-3-030-95593-9_18
Abstract
Molecular communication (MC) is proposed as a promising communication paradigm for nanonetworks. The knowledge of the distance between transmitter and receiver is of great importance in MC to achieve good system performance. The distance estimation work has been carried out based on the free diffusion channel of MC. The blood vessel, which is different from the free diffusion channel, is also very important for many MC applications such as drug delivery. However, the distance estimation schemes for the channel of blood vessel have not been investigated. In this work, we propose a distance estimation scheme for the blood vessel channel of MC. A more realistic model of the flow velocity in the blood vessel is presented. The corresponding channel impulse response (CIR) of the blood vessel channel is derived. Moreover, the effectiveness of the proposed distance estimation scheme is validated by simulations.
