TY - JOUR
T1 - Aerial Computing
T2 - A New Computing Paradigm, Applications, and Challenges
AU - Pham, Quoc Viet
AU - Ruby, Rukhsana
AU - Fang, Fang
AU - Nguyen, Dinh C.
AU - Yang, Zhaohui
AU - Le, Mai
AU - Ding, Zhiguo
AU - Hwang, Won Joo
N1 - Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIT) under Grant NRF-2019R1C1C1006143 and Grant NRF- 2019R1I1A3A01060518; in part by BK21 Four, Korean Southeast Center for the 4th Industrial Revolution Leader Education; and in part by the Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (MSIT) under Grant 2020-0- 01450 (Artificial Intelligence Convergence Research Center [Pusan National University]).
Publisher Copyright:
© 2014 IEEE.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemented. To overcome the limitations that restrict such applications, the development of a comprehensive computing paradigm has garnered attention in both academia and industry. However, a gap exists in the literature, owing to the scarce research, and a comprehensive computing paradigm is yet to be systematically designed and reviewed. This study introduces a novel concept, called aerial computing, via the amalgamation of aerial radio access networks and edge computing, which attempts to bridge the gap. Specifically, first, we propose a novel comprehensive computing architecture that is composed of low-altitude computing (LAC), high-altitude computing (HAC), and satellite computing platforms, along with conventional computing systems. We determine that aerial computing offers several desirable attributes: global computing service, better mobility, higher scalability and availability, and simultaneity. Second, we comprehensively discuss key technologies that facilitate aerial computing, including energy refilling, edge computing, network softwarization, frequency spectrum, multiaccess techniques, artificial intelligence, and big data. In addition, we discuss vertical domain applications (e.g., smart cities, smart vehicles, smart factories, and smart grids) supported by aerial computing. Finally, we highlight several challenges that need to be addressed and their possible solutions.
AB - In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemented. To overcome the limitations that restrict such applications, the development of a comprehensive computing paradigm has garnered attention in both academia and industry. However, a gap exists in the literature, owing to the scarce research, and a comprehensive computing paradigm is yet to be systematically designed and reviewed. This study introduces a novel concept, called aerial computing, via the amalgamation of aerial radio access networks and edge computing, which attempts to bridge the gap. Specifically, first, we propose a novel comprehensive computing architecture that is composed of low-altitude computing (LAC), high-altitude computing (HAC), and satellite computing platforms, along with conventional computing systems. We determine that aerial computing offers several desirable attributes: global computing service, better mobility, higher scalability and availability, and simultaneity. Second, we comprehensively discuss key technologies that facilitate aerial computing, including energy refilling, edge computing, network softwarization, frequency spectrum, multiaccess techniques, artificial intelligence, and big data. In addition, we discuss vertical domain applications (e.g., smart cities, smart vehicles, smart factories, and smart grids) supported by aerial computing. Finally, we highlight several challenges that need to be addressed and their possible solutions.
KW - Aerial access networks (AANs)
KW - Aerial computing
KW - Edge computing
KW - Enabling technologies
KW - Sixth generation (6G)
KW - Vertical applications
UR - http://www.scopus.com/inward/record.url?scp=85127039956&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2022.3160691
DO - 10.1109/JIOT.2022.3160691
M3 - Article
AN - SCOPUS:85127039956
SN - 2327-4662
VL - 9
SP - 8339
EP - 8363
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 11
ER -