Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/5247
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dc.contributor.advisorEbrahimi, Dariush-
dc.contributor.advisorAlves de Oliveira, Thiago E.-
dc.contributor.authorGhosh, Pronab-
dc.date.accessioned2023-10-05T14:44:31Z-
dc.date.available2023-10-05T14:44:31Z-
dc.date.created2023-
dc.date.issued2023-
dc.identifier.urihttps://knowledgecommons.lakeheadu.ca/handle/2453/5247-
dc.description.abstractIntelligent Transportation Systems (ITS) showcase cutting-edge services designed to revolutionize transportation and mobility, especially within future smart cities. These services play a pivotal role in bolstering traffic safety, traffic flow management, infotainment, and the dependability of edge-assisted autonomous driving. Consequently, ITS introduces the Vehicle-to-Vehicle (V2V) communication paradigm, facilitating continuous connectivity between moving vehicles and their surroundings. Real-time data exchange regarding acceleration, position, speed, and braking status enables collision avoidance and congestion mitigation. V2V communication streamlines communication pathways, resulting in safer and more comfortable driving experiences, particularly in high-risk scenarios. This thesis investigates two distinct challenges within V2V communications [...]en_US
dc.language.isoen_USen_US
dc.subjectIntelligent Transportation Systems (ITS)en_US
dc.subjectVehicle-to-Vehicle (V2V) communicationen_US
dc.subjectVehicular communicationsen_US
dc.subjectAutonomous vehiclesen_US
dc.titleIntelligent vehicle-to-vehicle communications with importance of fairness and information freshnessen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineComputer Scienceen_US
etd.degree.grantorLakehead Universityen_US
Appears in Collections:Electronic Theses and Dissertations from 2009

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