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Improving TCP performance over WiFi for internet of vehicles: a federated learning approach
journal contribution
posted on 2020-06-01, 00:00 authored by Shiva PokhrelShiva Pokhrel, Jinho ChoiJinho ChoiWe propose a novel communication efficient and privacy preserving federated learning framework for enhancing the performance of Internet of Vehicles (IoV), wherein on-vehicle learning models are trained by exchanging inputs, outputs and their learning parameters locally. Moreover, we use analytic modeling as a tool for reasoning and developing the required IoV scenario and stabilize their data flow dynamics by considering TCP CUBIC streams over WiFi networks to prove our idea.
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Journal
IEEE transactions on vehicular technologyVolume
69Issue
6Pagination
6798 - 6802Publisher
IEEELocation
Piscataway, N.J.Publisher DOI
ISSN
0018-9545eISSN
1939-9359Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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No categories selectedKeywords
Autonomous vehiclesconnected vehiclesfederated learninginternet of vehiclesQ-learningTCPWiFiScience & TechnologyTechnologyEngineering, Electrical & ElectronicTelecommunicationsTransportation Science & TechnologyEngineeringTransportationWireless fidelityMicrosoft WindowsDelaysHandoverInternetWireless communication
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