Computation offloading game in multiple unmanned aerial vehicle‐enabled mobile edge computing networks

Because of extreme sensitivity to time and energy consumption, many computation- data-intensive tasks are difficult implement on mobile terminals cannot meet the needs rapid development networks. To solve this problem, edge computing (MEC) appears be a promising solution. In study, we propose two offloading schemes in multiple unmanned aerial vehicles (UAVs) enabled MEC network. Their optimisation goals minimise global consumption all UAVs, respectively. Different from previous research, UAV can perform locally or offload an appropriate percentage desired server proposed schemes. order get minimum time, prove existence condition obtain optimal proportion. addition, also proportion present transmission power through solving Karush–Kuhn–Tucker conditions. Finally, because UAVs selfish, adopt game theory solutions strategies. Numerical results verify that effectively decrease especially for large number UAVs.