Publication: Odor Intensity Shift Keying (OISK) and channel capacity of Odor-Based molecular communications in internet of everything
dc.contributor.coauthor | Powari, Aditya | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Akan, Özgür Barış | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2025-03-06T20:58:32Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Molecular communication is a new, active area of research that has created a paradigm shift in the way a communication system is perceived. An artificial molecular communication network is created using biological molecules for encoding, transmitting and decoding the symbols to convey information. In addition to typical biological molecules, we are also exploring other classes of molecules that possess unique distinctive features which can be potentially exploited for establishing reliable communications. Odor molecules are one such class of molecules which possess several distinctive features such as Intensity, Headonic tone which provides a basis to convey the information in an olfactory communication system. In our work, we investigate the ICT (information and communication theory) perspective of the olfactory communications by evaluating the channel capacity of an odor molecular communication (OMC) system with the help of a novel modulation scheme viz. odor intensity shift keying (OISK), where information is being conveyed from the intensity level of an odor. Furthermore, we also analyse the effects of critical parameters like temperature and noise on the achievable channel capacity to provide an insight about the resilience of the proposed OMC system towards any such anomaly faced by it. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | This work was supported in part by the AXA Research Fund (AXA Chair for Internet of Everything at Koc University). | |
dc.identifier.doi | 10.1109/TMBMC.2024.3408063 | |
dc.identifier.eissn | 2332-7804 | |
dc.identifier.grantno | AXA Research Fund (AXA Chair for Internet of Everything at Koc University) | |
dc.identifier.issue | 3 | |
dc.identifier.quartile | Q2 | |
dc.identifier.scopus | 2-s2.0-85194853127 | |
dc.identifier.uri | https://doi.org/10.1109/TMBMC.2024.3408063 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/27490 | |
dc.identifier.volume | 10 | |
dc.identifier.wos | 1321856800013 | |
dc.keywords | Receivers | |
dc.keywords | Symbols | |
dc.keywords | Olfactory | |
dc.keywords | Mathematical models | |
dc.keywords | Channel capacity | |
dc.keywords | Atmospheric modeling | |
dc.keywords | Transmitters | |
dc.keywords | Odor molecular communications | |
dc.keywords | Odor intensity waveform | |
dc.keywords | Gaussian distribution | |
dc.keywords | Molecular communication | |
dc.keywords | Advection-diffusion model | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS | |
dc.subject | Electrical and electronics engineering | |
dc.subject | Computer engineering | |
dc.title | Odor Intensity Shift Keying (OISK) and channel capacity of Odor-Based molecular communications in internet of everything | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Akan, Özgür Barış | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
relation.isOrgUnitOfPublication | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isParentOrgUnitOfPublication | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 | |
relation.isParentOrgUnitOfPublication.latestForDiscovery | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 |
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