Driving Intention Based MDP Service Migration Strategy under MSCN Architecture

Service migration is one of the key topic of Internet of Vehicles (IoV). MEC (Mobile Edge Computing), which is carried on road side unit (RSU), could serve as service provider, and provide V2I (vehicle to infrastructure) cooperation service. To solve the high migration rate causing by vehicle's high mobility feature, MSCN (Mobile Secondary Computing Node) framework is defined. To study service migration feature under MSCN framework further, in this paper, road vehicle's motion features, e.g, driving intention and regional traffic condition, are introduced to construct Markov decision model, which are used to explain service migration decision procedure. Corresponding cost functions are defined, while optimal object is given. A two-way road scenario is selected as typical scenario. NS3 platform is employed to fulfill simulation process. Simulation results show that proposed service migration strategy perform well, and intensively to vehicle density change.