DIMDP: A Driving Intention-Based MDP Service Migration Model under MEC/MSCN Architecture

Service migration is one of the key topics of Internet of Vehicles (IoV). MEC (mobile edge computing), which is carried on the roadside unit (RSU), could serve as a service provider and provide a V2I (vehicle to infrastructure) cooperation service. To solve the high migration rate caused by the vehicle’s high mobility feature, MSCN (mobile secondary computing node) framework is defined. To study service migration features under the MSCN framework further, in this paper, road vehicle’s motion features, e.g., driving intention and regional traffic condition, are introduced to construct the Markov decision model, which is used to explain the service migration decision procedure, while DIMDP (driving intention-based MDP) is defined. Corresponding cost functions are defined, while the optimal object is given. A two-way road scenario is selected as a typical scenario. NS3 platform is employed to fulfill the simulation process. Simulation results show that the proposed service migration strategy performs well and is intensive to vehicle density change.