Authors: Mahfuzulhoq Chowdhury
Addresses: Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong-4349, Bangladesh
Abstract: 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.
Keywords: air and ground offloading; unmanned aerial vehicles; UAVs; internet of things; IoT; mobile-edge computing; MEC; service provisioning; task assignment; throughput; time reward; energy reward; energy consumption.
International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.37 No.2, pp.113 - 124
Received: 11 Jan 2021
Accepted: 15 Mar 2021
Published online: 22 Jun 2021 *