Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13232
Title: Distance Estimation Based on Impulse Response Distortion in Diffusive Molecular Communication
Authors: Upadhyay, Prabhat Kumar
Keywords: diffusion equation;distance estimation algorithm;Molecular communication;smoothing filter
Issue Date: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Tagliaferri, D., Mizmizi, M., Vakilipoor, F., Magarini, M., Upadhyay, P. K., & Bregni, S. (2023). Distance Estimation Based on Impulse Response Distortion in Diffusive Molecular Communication. Proceedings - 2023 IEEE Latin-American Conference on Communications, LATINCOM 2023. Scopus. https://doi.org/10.1109/LATINCOM59467.2023.10361885
Abstract: The study of communication systems based on the exchange of molecules is currently a fertile research direction in communications, encouraged by novel practical tools to engineer such systems from living substrates. Distance estimation in these systems is one of the critical functionalities. In this paper, we propose two distance estimation methods based on peak attenuation and widening of an emitted molecular pulse, which differently from previous solutions, do not rely on synchronization between the communicating devices. Their performance is evaluated through simulations in a 3-D space in terms of normalized Root Mean-Squared Error (RMSE) by varying several parameters, such as the diffusion coefficient, the transmitter-receiver distance, and the number of released molecules. The use of a variable-length smoothing filter is also proposed to further improve the performance of the two considered methods, demonstrating the existence of an optimal filter length, paving the road for the design of further improved distance estimation methods. © 2023 IEEE.
URI: https://doi.org/10.1109/LATINCOM59467.2023.10361885
https://dspace.iiti.ac.in/handle/123456789/13232
ISBN: 979-8350326871
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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