针对城市环境复杂且存在多种火灾隐患这一场景,提出一种多无人机与车联网协同消防应急的任务卸载方法.综合考虑场景中的时延、能耗和远程计算成本,本文以最小化系统效用为代价,采用一种基于网络环境的三方顺序博弈算法(Game Theory Based Network,NGT).仿真结果表明,相比于其他任务卸载算法,NGT 算法可以有效降低系统效用,展示了所提策略在该场景下的优越性.
RESEARCH ON TASK OFFLOADING FOR COLLABORATIVE FIRE EMERGENCY RESPONSE OF MULTIPLE UAVS AND CONNECTED VEHICLES IN THE CITY
The task offloading algorithm for collaborative fire emergency response between multiple UAVS and vehicle networking is proposed for the complex urban environment with multiple fire hazards.Taking into account the delay,energy consumption and remote computing costs in the scenario as system indicators,this paper adopts a game theory based on network environment(NGT)at the cost of minimizing system utility.The simulation results show that compared to other task offloading methods,the method proposed can effec-tively reduce system utility,demonstrating the superiority of the proposed strategy in this scenario.
UAVvehicle networkingoffloading strategygame theory
万方数据
维普
