摘要：Cloud computing has emerged as a promising paradigm for meeting the growing resource demands of Internet of Things (IoT) devices. Meanwhile, with the popularity of mobile aerial base stations, Unmanned Aerial Vehicle (UAV) assisted cloud computing is essential for providing diversified service at areas without available infrastructure. However, it is difficult to meet the requirements of a number of IoT devices which distribute a large area through one single UAV cloud server, and thus multi-clouds have been applied in large-scale IoT environments. Due to the limited battery capacity of UAV, hybrid energy supply has been considered as an effective approach. How to allocate the computing resources and offload the tasks to the UAV-assisted clouds is a challenging task. In this paper, we study the trade-off between the energy consumption and system performance in a UAV-assisted multi-clouds system. Considering the transmission and execution cost, a dynamic optimization problem with the objective of minimizing the power consumption of UAVs with the constraint of queue stability is formulated, which is further decomposed into three sub-problems using stochastic optimization techniques. A collaborative task offloading and resources allocation algorithm (CTORAA) based on artificial intelligent (AI) technique is proposed to jointly determine task offloading and energy harvesting. We provide corresponding mathematical analysis showing that CTORAA can reach the arbitrary profit-stability trade-off. Finally, we conduct simulation experiments to validate the efficacy of our algorithm.

关键字：Multi-clouds; Unmanned Aerial Vehicle (UAV); Internet of Things (IoT); Lyapunov optimization; Hybrid energy supply; Task offloading; Resource allocation

ISSN号：2192-113X

卷、期、页：卷: 11期: 1

发表日期：2022-09-09

影响因子：3.222000

期刊分区（SCI为中科院分区）：三区

收录情况：SCIE（科学引文索引网络版）,EI（工程索引）

发表期刊名称：JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS

通讯作者：周宇,葛慧,马博闻,张书航

第一作者：黄霁崴

论文类型：期刊论文

论文概要：周宇,葛慧,马博闻,张书航,黄霁崴，Collaborative task offloading and resource allocation with hybrid energy supply for UAV-assisted multi-clouds，JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS，2022，卷: 11期: 1

论文题目：Collaborative task offloading and resource allocation with hybrid energy supply for UAV-assisted multi-clouds