The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 하늘의 무인항공기(UAV)를 이용하여 지상 사용자 간 정보를 전송하는 무선 통신 네트워크를 고려한다. 우리는 UAV와 사용자 간(UAV 대 사용자)과 UAV 간(UAV 대 사용자)의 두 가지 유형의 간헐적 통신 링크를 설정하여 정보가 저장 및 전달 방식으로 중계되는 지연 허용 네트워크를 강조합니다. UAV). 따라서 신속한 정보 전송을 위해서는 UAV의 움직임을 제어하는 비행 알고리즘이 매우 중요합니다. 우리 연구에서는 두 가지 유형의 통신 링크를 동시에 고려하는 새로운 비행 알고리즘을 제안합니다. UAV-UAV 링크에서는 두 UAV 간의 직접 정보 전송과 다른 UAV를 통한 간접 전송이 별도로 고려됩니다. UAV의 움직임은 두 가지 유형의 링크에 대한 다양한 고려 비율을 사용하여 특정 시간 간격으로 최적화 문제를 해결함으로써 제어됩니다. 또한, 모든 UAV가 협력적으로 이동하는 경우뿐만 아니라 각 UAV가 자율적으로 이동하는 경우도 조사한다. 시뮬레이션 결과는 제안된 알고리즘이 효과적임을 보여준다. 또한 이는 두 가지 유형의 통신에 대한 최적 고려 비율이 존재함을 나타내며 우리의 접근 방식을 통해 통신 링크 설정 빈도를 제어할 수 있음을 보여줍니다. 우리는 UAV 간의 간접 통신 빈도를 높이면 네트워크 성능이 향상된다는 결론을 내렸습니다.
Hiroyuki ASANO
Nagoya University
Hiraku OKADA
Nagoya University
Chedlia BEN NAILA
Nagoya University
Masaaki KATAYAMA
Nagoya University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Hiroyuki ASANO, Hiraku OKADA, Chedlia BEN NAILA, Masaaki KATAYAMA, "Communication-Aware Flight Algorithms for UAV-Based Delay-Tolerant Networks" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 11, pp. 1122-1132, November 2023, doi: 10.1587/transcom.2023EBP3029.
Abstract: In this paper, a wireless communication network that uses unmanned aerial vehicles (UAVs) in the sky to transmit information between ground users is considered. We highlight a delay-tolerant network, where information is relayed in a store-and-forward fashion by establishing two types of intermittent communication links: between a UAV and a user (UAV-to-user) and between UAVs (UAV-to-UAV). Thus, a flight algorithm that controls the movement of the UAVs is crucial in achieving rapid information transmission. Our study proposes new flight algorithms that simultaneously consider the two types of communication links. In UAV-to-UAV links, the direct information transmission between two UAVs and the indirect transmission through other UAVs are considered separately. The movement of the UAVs is controlled by solving an optimization problem at certain time intervals, with a variable consideration ratio of the two types of links. In addition, we investigate not only the case where all UAVs move cooperatively but also the case where each UAV moves autonomously. Simulation results show that the proposed algorithms are effective. Moreover, they indicate the existence of an optimal consideration ratio of the two types of communication and demonstrate that our approach enables the control of frequencies of establishing the communication links. We conclude that increasing the frequency of indirect communication between UAVs improves network performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3029/_p
부
@ARTICLE{e106-b_11_1122,
author={Hiroyuki ASANO, Hiraku OKADA, Chedlia BEN NAILA, Masaaki KATAYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Communication-Aware Flight Algorithms for UAV-Based Delay-Tolerant Networks},
year={2023},
volume={E106-B},
number={11},
pages={1122-1132},
abstract={In this paper, a wireless communication network that uses unmanned aerial vehicles (UAVs) in the sky to transmit information between ground users is considered. We highlight a delay-tolerant network, where information is relayed in a store-and-forward fashion by establishing two types of intermittent communication links: between a UAV and a user (UAV-to-user) and between UAVs (UAV-to-UAV). Thus, a flight algorithm that controls the movement of the UAVs is crucial in achieving rapid information transmission. Our study proposes new flight algorithms that simultaneously consider the two types of communication links. In UAV-to-UAV links, the direct information transmission between two UAVs and the indirect transmission through other UAVs are considered separately. The movement of the UAVs is controlled by solving an optimization problem at certain time intervals, with a variable consideration ratio of the two types of links. In addition, we investigate not only the case where all UAVs move cooperatively but also the case where each UAV moves autonomously. Simulation results show that the proposed algorithms are effective. Moreover, they indicate the existence of an optimal consideration ratio of the two types of communication and demonstrate that our approach enables the control of frequencies of establishing the communication links. We conclude that increasing the frequency of indirect communication between UAVs improves network performance.},
keywords={},
doi={10.1587/transcom.2023EBP3029},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - Communication-Aware Flight Algorithms for UAV-Based Delay-Tolerant Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1122
EP - 1132
AU - Hiroyuki ASANO
AU - Hiraku OKADA
AU - Chedlia BEN NAILA
AU - Masaaki KATAYAMA
PY - 2023
DO - 10.1587/transcom.2023EBP3029
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2023
AB - In this paper, a wireless communication network that uses unmanned aerial vehicles (UAVs) in the sky to transmit information between ground users is considered. We highlight a delay-tolerant network, where information is relayed in a store-and-forward fashion by establishing two types of intermittent communication links: between a UAV and a user (UAV-to-user) and between UAVs (UAV-to-UAV). Thus, a flight algorithm that controls the movement of the UAVs is crucial in achieving rapid information transmission. Our study proposes new flight algorithms that simultaneously consider the two types of communication links. In UAV-to-UAV links, the direct information transmission between two UAVs and the indirect transmission through other UAVs are considered separately. The movement of the UAVs is controlled by solving an optimization problem at certain time intervals, with a variable consideration ratio of the two types of links. In addition, we investigate not only the case where all UAVs move cooperatively but also the case where each UAV moves autonomously. Simulation results show that the proposed algorithms are effective. Moreover, they indicate the existence of an optimal consideration ratio of the two types of communication and demonstrate that our approach enables the control of frequencies of establishing the communication links. We conclude that increasing the frequency of indirect communication between UAVs improves network performance.
ER -