Connected vehicle network data transfer optimization

Patent metadata

Field	Value
Publication number	US-2023284049-A1
Application number	US-202318179074-A
Country	US
Kind code	A1
Filing date	Mar 6, 2023
Priority date	Aug 8, 2018
Publication date	Sep 7, 2023
Grant date	—

Abstract

Generally described, one or more aspects of the present application correspond to techniques for dynamic management of the timing of data transfer between a connected vehicle and a remote computing system. For example, during navigation a connected vehicle may switch between connections to a number of different networks, each having different parameters (cost, bandwidth, quality, etc.). The disclosed techniques can use inputs including vehicle location, available networks, and data transfer timing requirements to optimize data transfer with respect to one or more of these parameters.

First claim

What is claimed is:

1 . A connected vehicle networking system, comprising:
a vehicle including:
at least one transceiver configured to connect to a plurality of networks, and
a computing system configured to execute an application and a network data optimizer; and
at least one server remote from the vehicle and configured to transfer data with the application; wherein the network data optimizer is configured by computer-executable instructions to act as an intermediary between the application and the at least one server by at least:
determining a data transfer window for transferring data between the application and the least one server;
identifying at least a first network and a second network to which the at least one transceiver can connect during the data transfer window;
determining a first cost of transferring data using the first network and a second cost of transferring data using the second network;
identifying which of the first cost and the second cost is a lowest cost; and
instructing the application to transfer data with the at least one server when the at least one transceiver is connected to the one of the first and second networks corresponding to the lowest cost.

Assignees

• Faraday&Future Inc

Inventors

• Sundar Shyam

Classifications

• G06N3/09

  Supervised learning · CPC title

• H04W24/02 Primary

  Arrangements for optimising operational condition · CPC title

• H04W4/44

  for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H] · CPC title

• H04W72/12

  Wireless traffic scheduling · CPC title

• G06N3/08

  Learning methods · CPC title