Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5582
Title: Impacts of Unintended Nanomachine in Diffusion-Based Molecular Communication System
Authors: Chouhan, Lokendra
Upadhyay, Prabhat Kumar
Keywords: Molecules;Monte Carlo methods;Probability;Testbeds;Achievable secrecy rates;Analytical expressions;Average probability of error;Information leakage;Molecular communication;Molecular degradation;Optimal detectors;Point to point;Nanotechnology
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Chouhan, L., Sharma, P. K., Upadhyay, P. K., Garg, P., & Varshney, N. (2020). Impacts of unintended nanomachine in diffusion-based molecular communication system. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 6(3), 210-219. doi:10.1109/TMBMC.2020.3025501
Abstract: The effect of unintended nanomachine (UN) on the performance of a 3-dimensional (3-D) diffusive point-to-point molecular communication system is investigated in this article. To analyze the impacts of the presence of UN, two different scenarios are considered. In the first scenario, UN is considered as an unintended transmitter nanomachine (UTN). The expression for arrival probability of molecules received at the spherical absorbing receiver, considering exponential molecular degradation, is obtained. Moreover, this scenario is analyzed in terms of average probability of error (APoE) and maximum achievable rate (MAR), with and without Genie-aided assumptions. Further, in the second scenario, wherein we consider UN as a unintended receiver nanomachine (URN), the system is analyzed in terms of information leakage and maximum achievable secrecy rate (MASR). In second scenario, we consider two different models to find the arrival probability of molecules at the intended receiver nanomachine (IRN). In the first model, independence of the particle death in URN and IRN is assumed, and in second model, mutual influences of URN and IRN on each other are assumed. Moreover, in both the scenarios, to optimize the system performance, an optimal detector is used. In the end, the derived analytical expressions are verified through particle-based and Monte-Carlo simulations. © 2015 IEEE.
URI: https://doi.org/10.1109/TMBMC.2020.3025501
https://dspace.iiti.ac.in/handle/123456789/5582
ISSN: 2332-7804
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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