Stochastic Programming Method for Offloading in Mobile Edge Computing Based Internet of Vehicle
Long Zhang, Bin Qian Cao · 2019
In Mobile Edge Computing based Internet of Vehicle (MEC-IoV), how to assign suitable task to MEC to satisfy the requirement under the constraints is the most important issue. Usually, in the practical system, due to the random movement and changing traffic load, the connection between vehicle user and MEC server is uncertain, and this makes it difficult to assign the suitable task in offloading. Considering the uncertainty and the corresponding impact, this paper proposes a stochastic programming methodology to make offloading policy. To this end, the task offloading problem is formulated as a Multi-Stage Stochastic Programming (MSSP) minimizing the expected cost function caused by offloading while considering the energy consumption. The experimental results show that the proposed MSSP method for offloading decision-making can effectively reduce the total cost in stochastic scenarios.