VANET Problem Test


You are part of a research team working on a project related to VANETs (Vehicular Ad-Hoc Networks) in a dense urban area. Your team’s objective is to develop an algorithm that can efficiently route messages between vehicles in the network while minimizing message delay and avoiding network congestion.

Dataset: You are provided with a dataset that consists of the geographic location and speed of all vehicles in the network, along with the transmission range of each vehicle. The dataset also includes information about the road network and traffic flow in the area. The data is recorded for 100 time steps.


Using MATLAB or Python, propose an algorithmic solution to the problem described above. Your algorithm should take into account the following factors:

  • Each vehicle has a unique identifier and can broadcast messages to other vehicles within its transmission range.
  • The quality of the communication links between neighboring vehicles depends on factors such as distance, signal strength, and interference from other vehicles or obstacles.
  • The traffic conditions in the area can vary over time and affect the speed and location of each vehicle.
  • Vehicles can move in any direction and change their speed and direction at any time.
  • Each vehicle has a message queue that needs to be cleared as soon as possible while avoiding network congestion.

Your algorithm should aim to achieve the following objectives:

  • Minimize message delay: Messages should be delivered to their intended recipient as quickly as possible, without unnecessary delays or packet losses.
  • Avoid network congestion: The algorithm should be designed to prevent network congestion by distributing message traffic evenly across the network and reducing unnecessary retransmissions.
  • Ensure reliable message delivery: The algorithm should be able to handle message losses and retransmissions, and ensure that messages are delivered reliably to their intended recipient.

- Define a message queue for each vehicle
- Set a maximum hop count for each message
- Set a time limit for message transmission
- For each vehicle:
- Check the message queue for any pending messages
- If there are pending messages, select the message with the highest priority (e.g., based on the urgency of the message or the distance to the destination)
- If the selected message has not exceeded the maximum hop count and the time limit for transmission, broadcast the message to all neighboring vehicles within the transmission range
- If a neighboring vehicle receives the message:
- Check if the message has already been received
- If the message has not been received before, add the message to the receiving vehicle's message queue
- If the message has already been received, discard the message
- If the message is not received within the time limit or the maximum hop count is exceeded, discard the message
- Update the location and speed of each vehicle based on the available dataset
- Update the quality of communication links between neighboring vehicles based on the distance, signal strength, and interference
- Check the status of the message queues at each vehicle and clear any messages that have been successfully delivered
End Loop