Publication:
Odor Intensity Shift Keying (OISK) and channel capacity of Odor-Based molecular communications in internet of everything

dc.contributor.coauthorPowari, Aditya
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2025-03-06T20:58:32Z
dc.date.issued2024
dc.description.abstractMolecular 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.indexedbyWOS
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis work was supported in part by the AXA Research Fund (AXA Chair for Internet of Everything at Koc University).
dc.identifier.doi10.1109/TMBMC.2024.3408063
dc.identifier.eissn2332-7804
dc.identifier.grantnoAXA Research Fund (AXA Chair for Internet of Everything at Koc University)
dc.identifier.issue3
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-85194853127
dc.identifier.urihttps://doi.org/10.1109/TMBMC.2024.3408063
dc.identifier.urihttps://hdl.handle.net/20.500.14288/27490
dc.identifier.volume10
dc.identifier.wos1321856800013
dc.keywordsReceivers
dc.keywordsSymbols
dc.keywordsOlfactory
dc.keywordsMathematical models
dc.keywordsChannel capacity
dc.keywordsAtmospheric modeling
dc.keywordsTransmitters
dc.keywordsOdor molecular communications
dc.keywordsOdor intensity waveform
dc.keywordsGaussian distribution
dc.keywordsMolecular communication
dc.keywordsAdvection-diffusion model
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS
dc.subjectElectrical and electronics engineering
dc.subjectComputer engineering
dc.titleOdor Intensity Shift Keying (OISK) and channel capacity of Odor-Based molecular communications in internet of everything
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorAkan, Özgür Barış
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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