A2 Refereed review article in a scientific journal

Dynamic computation offloading for ground and flying robots: Taxonomy, state of art, and future directions




AuthorsChaari Rihab, Cheikhrouhou Omar, Koubaa Anis, Youssef Habib, Nguyen Gia Tuan

PublisherELSEVIER

Publication year2022

JournalComputer Science Review

Journal name in sourceCOMPUTER SCIENCE REVIEW

Journal acronymCOMPUT SCI REV

Article number 100488

Volume45

Number of pages20

ISSN1574-0137

DOIhttps://doi.org/10.1016/j.cosrev.2022.100488

Web address https://doi.org/10.1016/j.cosrev.2022.100488


Abstract
The collaboration between ground and flying robots can take advantage of the capabilities of each system to enhance the performance of robotic applications, including military, healthcare, disaster management, etc. Unfortunately, this cooperation is restricted by the physical constraint that all computation should be performed on robots. The concept of computation offloading has great potential to improve the performance of both ground and flying robots. Unfortunately, external conditions like the network conditions, the robot's mobility, and the availability of the processing resources may lead to new challenges. Accordingly, these challenges should be addressed from different perspectives, like security, network communication, response time, and energy consumption. Recently, most computation offloading solutions aim to optimize further the robot's energy consumption. Several research works are designed 1.) to satisfy the real-time requirements of robotic applications and 2.) to solve the trade-off between the energy consumed by computation and communication. To better understand these concepts, we present a comprehensive overview of the computation offloading process for ground and flying robots. We also devised a taxonomy explaining the factors affecting the offloading decision in a robotic scenario. The taxonomy presents guidelines to recognize the scope of research in offloading decisions that were designed for robots. Then, we discuss the state-of-the-art techniques of computation offloading from an architectural point of view, and we survey works related to offloading decisions for robots. (C) 2022 Published by Elsevier Inc.



Last updated on 2024-26-11 at 16:32