A Low-Cost UAV Task Offloading Scheme Based on Trustable and Trackable Data Routing

被引：6
作者：
Bai J. [1 ]
Gui J. [1 ]
Huang G. [2 ]
Dong M. [3 ]
Wang T. [4 ]
Zhang S. [5 ]
Liu A. [1 ]
机构：
[1] Central South University, School of Computer Science and Engineering, Changsha
[2] Hunan First Normal University, School of Information Science and Engineering, Changsha
[3] Muroran Institute of Technology, School of Computer Science and Engineering, Muroran
[4] Beijing Normal University, UIC, Artificial Intelligence and Future Networks, Zhuhai
[5] Hunan University of Science and Technology, School of Computer Science and Engineering, Xiangtan
来源：
IEEE Transactions on Intelligent Vehicles | 2024年 / 9卷 / 09期
基金：
中国国家自然科学基金;
关键词：
task offloading; trackable data routing; trajectory optimization; trust evaluation; Unmanned aerial vehicle;
D O I：
10.1109/TIV.2023.3321300
中图分类号：
学科分类号：
摘要：
As a promising edge computing paradigm, task offloading involves transferring data from resource-limited devices to high-performance servers to expedite processing. However, devices in isolated networks without direct Internet connections face challenges in task offloading. To address this issue, we propose a novel Low-cost Unmanned Aerial Vehicle (UAV) Task Offloading Scheme based on Trustable and Trackable Data Routing (LTOTT) for deadline-aware tasks in non-connected networks. The main contributions of LTOTT are as follows: (1) A novel dissemination method that devices route different numbers of Copied Tasks (CTs) and Task Computing Notices (TCNs) in different directions based on task deadlines is proposed to enable the UAV to get tasks earlier and complete them in time. (2) In order to reduce the risk of malicious attacks during the spreading of CTs and TCNs, a trust evaluation based on a trackable data routing method is proposed to ensure secure transmission. (3) In addition, based on the evaluated trust and the received information, a dynamic UAV flight trajectory optimization is proposed to enable tasks completed before their deadlines. A large number of experimental results show that LTOTT increases the task completion rate by 41.41%–134.15%; reduces average delay and UAV's flight distance respectively by 26.88%–51.52%, 16.37%–73.40% compared with the existing schemes. © 2016 IEEE.
引用
收藏
页码：5797 / 5812
页数：15
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