TOSHVEC

Task Offloading and Serving Handover of Vehicular Edge Computing Networks Based on Trajectory Prediction

This is a solution finding dqn agent in an edge computing problem .

Vehicles should decide what to do with their tasks . They have three options :

• Process it locally
• Offload it to one of mission vehicles
• Offload it to the cloud

This project considers lot of parameters like :

• Delay
• Energy consumption
• Network bandwidth
• Vehicles storage and capability of processing a task

After simulating the environment we give the states, actions, reward functions and etc to a dqn agent .

Stacks

The dqn is written using mxnet for now .

Assumptions by now

This model decides for one :

• mission vehicle ( with just one task )
• co-operative vehicle
• RSU