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Reward-based service provisioning scheme for UAV-MEC assisted IoT infrastructures

机译:UAV-MEC辅助物联网基础架构的基于奖励服务配置方案

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摘要

To lower the IoT device task execution latency, unmanned aerial vehicles (UAVs) are gaining popularity among researchers that offers ubiquitous computing and communication services to IoT devices. To maximise the system task execution time and energy saving in different real-time cases, collaboration among UAV and mobile-edge computing (MEC) for IoT device task execution seems to be a promising solution. The existing task execution algorithm in the integrated UAV-MEC system suffers from higher latency and energy wastage due to lack of a proper IoT service provisioning scheme. To accomplish both time and energy gain, this paper presents a reward-based service provisioning scheme for UAV-MEC assisted IoT infrastructures by taking into account different types of UAV, IoT device, cloud, and task properties. Simulation results indicate that our proposed reward-based service provisioning algorithm outperforms the traditional air and ground offloading algorithm in terms of system timespan delay and energy cost latency.
机译:为了降低物联网设备任务执行延迟,无人驾驶航空车辆(UVS)在为IOT设备提供普遍存在的计算和通信服务的研究人员中越来越受欢迎。为了最大化不同实时案例中的系统任务执行时间和节能,无人机和移动边缘计算(MEC)之间的协作似乎是一个有前途的解决方案。由于缺乏适当的物联网服务供应方案,集成的UAV-MEC系统中的现有任务执行算法遭受了更高的延迟和能源浪费。为了完成时间和能源增益,本文通过考虑不同类型的UAV,IOT设备,云和任务属性,提出了一种基于UAV-MEC辅助物联网基础结构的基于奖励的服务供应方案。仿真结果表明,我们所提出的基于奖励的服务供应算法在系统次客延迟和能量成本延迟方面优于传统的空气和地面卸载算法。

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