Optimal Traffic Scheduling for Infrastructure-to-Infrastructure Communications in the Internet of Vehicles

• Author / Creator

  Lijie Huang

• There have been intensive research efforts on optimizing performance in wireless networks by adjusting certain parameters in the system. Most of the works are for decision making at individual moments, which are independent of each other. However, in many cases, a sequence of decisions need to be made in wireless networks, and the decisions are not independent, referred to as sequential decision making.
  The target of sequential decision making is to maximize the system efficiency in the long run.

  In this research, we aim to design optimal sequential decision making process for infrastructure-to-infrastructure communications in the Internet of Vehicles, in which a roadside unit without the Internet connection needs to ask for the help of passing-by vehicles to forward its traffic to a roadside unit with the Internet connection. Upon a vehicle arrival, the source roadside unit needs to decide whether or not to forward its traffic to the vehicle. With the objective to minimize the rate of cost related to energy and delay, the sequential decision making process is modelled as optimal stopping problems.

  Three cases related to the delay cost functions are considered: a) hard delay bound; b) soft delay bound; and c) multi-step soft delay bound. Threshold-based optimal stopping rules are derived for each of the above three cases.

• Subjects / Keywords

  • Traffic Scheduling
  • Internet of Vehicles
  • Optimal Stopping
  • Infrastructure to Infrastructure

• Graduation date

  Fall 2019

• Type of Item

  Thesis

• Degree

  Doctor of Philosophy

• DOI

  https://doi.org/10.7939/r3-q5fm-fg11

• License

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