Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5582
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dc.contributor.authorChouhan, Lokendraen_US
dc.contributor.authorUpadhyay, Prabhat Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:42:41Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:42:41Z-
dc.date.issued2020-
dc.identifier.citationChouhan, 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.2020.3025501en_US
dc.identifier.issn2332-7804-
dc.identifier.otherEID(2-s2.0-85091688218)-
dc.identifier.urihttps://doi.org/10.1109/TMBMC.2020.3025501-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5582-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceIEEE Transactions on Molecular, Biological, and Multi-Scale Communicationsen_US
dc.subjectMoleculesen_US
dc.subjectMonte Carlo methodsen_US
dc.subjectProbabilityen_US
dc.subjectTestbedsen_US
dc.subjectAchievable secrecy ratesen_US
dc.subjectAnalytical expressionsen_US
dc.subjectAverage probability of erroren_US
dc.subjectInformation leakageen_US
dc.subjectMolecular communicationen_US
dc.subjectMolecular degradationen_US
dc.subjectOptimal detectorsen_US
dc.subjectPoint to pointen_US
dc.subjectNanotechnologyen_US
dc.titleImpacts of Unintended Nanomachine in Diffusion-Based Molecular Communication Systemen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Electrical Engineering

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