A Low-Cost UAV Task Offloading Scheme Based on Trustable and Trackable Data Routing
Bai Jing, Jinsong Gui, Guosheng Huang, Mianxiong Dong, Tian Wang, Shaobo Zhang, Anfeng Liu
Abstract
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.