TY - GEN
T1 - Minimization of offloading delay for two-tier UAV with mobile edge computing
AU - Liu, Jingfang
AU - Li, Lixin
AU - Yang, Fucheng
AU - Liu, Xiaomin
AU - Li, Xu
AU - Tang, Xiao
AU - Han, Zhu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - In this paper, we study the offloading problem in a mobile edge computing (MEC) network consisting of two-tier UAV. The high-altitude platform unmanned aerial vehicle (HAP-UAV) is equipped with a MEC server to complete the computing tasks of the low altitude platform unmanned aerial vehicle (LAP-UAV). We propose a multi-leader multi-follower Stackelberg game to formulate the two-tier UAV MEC offloading problem. As the leaders of the game, the HAP-UAVs optimize their pricing by considering the behavior of their competitors to maximize their revenue. Each LAP-UAV selects the best computing tasks offload strategy to minimize latency. From this perspective, the stochastic equilibrium problem of equilibrium program with equilibrium constraints (EPEC) model is proposed to develop the optimal supply strategies for HAP-UAVs to maximize their profits and minimize LAP-UAVs' cost. Simulation results show that the offloading delay of LAP-UAVs can be reduced by the proposed scheme.
AB - In this paper, we study the offloading problem in a mobile edge computing (MEC) network consisting of two-tier UAV. The high-altitude platform unmanned aerial vehicle (HAP-UAV) is equipped with a MEC server to complete the computing tasks of the low altitude platform unmanned aerial vehicle (LAP-UAV). We propose a multi-leader multi-follower Stackelberg game to formulate the two-tier UAV MEC offloading problem. As the leaders of the game, the HAP-UAVs optimize their pricing by considering the behavior of their competitors to maximize their revenue. Each LAP-UAV selects the best computing tasks offload strategy to minimize latency. From this perspective, the stochastic equilibrium problem of equilibrium program with equilibrium constraints (EPEC) model is proposed to develop the optimal supply strategies for HAP-UAVs to maximize their profits and minimize LAP-UAVs' cost. Simulation results show that the offloading delay of LAP-UAVs can be reduced by the proposed scheme.
KW - Computation offloading
KW - Equilibrium problem with equilibrium constraints
KW - Mobile edge computing
KW - Unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85073896893&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2019.8766778
DO - 10.1109/IWCMC.2019.8766778
M3 - 会议稿件
AN - SCOPUS:85073896893
T3 - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
SP - 1534
EP - 1538
BT - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Y2 - 24 June 2019 through 28 June 2019
ER -