| [1] |
樊邦奎, 李云, 张瑞雨. 浅析低空智联网与无人机产业应用[J]. 地理科学进展,2021, 40(9): 1441-1450.
|
|
FAN B K, LI Y, ZHANG R Y. Initial analysis of low-altitude Internet of Intelligences(IOI)and the applications of unmanned aerial vehicle industry[J]. Progress in Geography, 2021,40(9) :1441-1450 (in Chinese).
|
| [2] |
董超, 沈赟, 屈毓锛. 基于无人机的边缘智能计算研究综述[J]. 智能科学与技术学报, 2020, 2(3): 227-239.
|
|
DONG C, SHEN Y, QU Y B. A survey of UAV-based edge intelligent computing[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(3): 227-239 (in Chinese).
|
| [3] |
樊邦奎, 吴启晖. “低空智联网”专栏序言[J]. 数据采集与处理, 2024, 39(1): 1.
|
|
FAN B K, WU Q H. Preface to the special column on low-altitude intelligent internet of things[J]. Journal of Data Acquisition and Processing, 2024, 39(1): 1 (in Chinese).
|
| [4] |
董超, 经宇骞, 屈毓锛, 等. 面向低空智联网频谱认知与决策的云边端融合体系架构[J]. 通信学报, 2023, 44(11): 1-12.
|
|
DONG C, JING Y Q, QU Y B, et al. Cloud-edge-device fusion architecture oriented to spectrum cognition and decision in low altitude intelligence network[J]. Journal on Communications, 2023, 44(11): 1-12 (in Chinese).
|
| [5] |
刘玮, 侯杰, 黄志勇, 等. 基于5G空地一体组网技术的机动通信保障方案与性能研究[J]. 电信科学, 2024(S2): 1-9.
|
|
LIU W, HOU J, HUANG Z Y, et al. Mobile communication support scheme and performance research based on 5G space-integrated-ground networking technology [J]. Telecommunications Science, 2024(S2): 1-9 (in Chinese).
|
| [6] |
刘言, 赵辰乾, 闫瑞东, 等. 基于云网协同的通感算智赋能卫星网络技术[J]. 无线电通信技术, 2025, 51(4): 733-741.
|
|
LIU Y, ZHAO C Q, YAN R D, et al. Communication, sensing, computing, and intelligence enabling satellite network technology based on cloud-network convergence [J]. Radio Communications Technology, 2025, 51(4): 733-741 (in Chinese).
|
| [7] |
武燕燕, 吴松. 空天地海一体化网络边缘计算的资源管理研究[J]. 移动通信, 2024, 48(9): 124-131.
|
|
WU Y Y, WU S. Research on resource management of multiple-access edge computation in space-air-ground-sea integrated network[J]. Mobile Communications, 2024, 48(9): 124-131 (in Chinese).
|
| [8] |
刘勇军, 巫江. 4G&5G融合核心网的高效能数智测试方法探讨[J]. 通信与信息技术, 2025(3): 31-35, 44.
|
|
LIU Y J, WU J. Research of efficient digital testing methods for 4G&5G converged core networks[J]. Communication & Information Technology, 2025(3): 31-35, 44 (in Chinese).
|
| [9] |
杨波. 空天地海一体化网络的通感一体技术应用及展望[J]. 通信世界, 2025(14): 40-43.
|
|
YANG B. Application and prospect of integrated sensing and communication technology in space-air-ground-sea integrated network[J]. Communications World, 2025(14): 40-43 (in Chinese).
|
| [10] |
王伟, 陈志刚, 何春蛟, 等. 灾害应急通信场景下无人机基站位置部署与路径规划[J]. 交通运输工程与信息学报, 2025, 23(4): 22-35.
|
|
WANG W, CHEN Z G, HE C J, et al. Deployment and path planning optimization of UAV base stations in disaster emergency communication scenario[J]. Journal of Transportation Engineering and Information, 2025,23(4):22-35 (in Chinese).
|
| [11] |
ROLLY R M, MALARVEZHI P, LAGKAS T D. Unmanned aerial vehicles: Applications, techniques, and challenges as aerial base stations[J]. International Journal of Distributed Sensor Networks, 2022, 18(9): 15501329221123933.
|
| [12] |
SIVALINGAM T, MANOSHA K B S, RAJATHEVA N, et al. Positioning of multiple unmanned aerial vehicle base stations in future wireless network[C]∥ 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). Piscataway: IEEE, 2020.
|
| [13] |
ZHAO Z, CUMINO P, ESPOSITO C, et al. Smart unmanned aerial vehicles as base stations placement to improve the mobile network operations[J]. Computer Communications, 2022, 181: 45-57.
|
| [14] |
XU C, LIAO X, TAN J, et al. Recent research progress of unmanned aerial vehicle regulation policies and technologies in urban low altitude[J]. IEEE Access, 2020, 8: 74175-74194.
|
| [15] |
LI Z, LI S, LU J, et al. Air route network planning method of urban low-altitude logistics UAV with double-layer structure[J]. Drones, 2025, 9(3): 193.
|
| [16] |
HE D, YUAN W, WU J, et al. Ubiquitous UAV communication enabled low-altitude economy: Applications, techniques, and 3GPP’ s efforts[J]. IEEE Network, 2026, 40(1): 115-122.
|
| [17] |
AHMED F, JENIHHIN M. A survey on UAV computing platforms: A hardware reliability perspective[J]. Sensors, 2022, 22(16): 6286.
|
| [18] |
KHAN M A, KHAN I U, SAFI A, et al. Dynamic routing in flying ad-hoc networks using topology-based routing protocols[J]. Drones, 2018, 2(3): 15.
|
| [19] |
CHOI S C, KIM S Y. An independent UAV-based mobile base station[J]. Sensors, 2025, 25(5): 1349.
|
| [20] |
MESSAOUDI K, BAZ A, OUBBATI O S, et al. UGV charging stations for UAV-assisted AoI-aware data collection[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(6): 2325-2343.
|
| [21] |
AMEUR A I, OUBBATI O S, LAKAS A, et al. Efficient vehicular data sharing using aerial P2P backbone[J]. IEEE Transactions on Intelligent Vehicles, 2024, 10(1): 413-426.
|
| [22] |
DUTRIEZ C, OUBBATI O S, GUEGUEN C, et al. Energy efficiency relaying election mechanism for 5G internet of things: A deep reinforcement learning technique[C]∥ 2024 IEEE Wireless Communications and Networking Conference (WCNC). Piscataway: IEEE, 2024.
|
| [23] |
POJDA J, WOLFF A, SBEITI M, et al. Performance analysis of mesh routing protocols for UAV swarming applications[C]∥ 2011 8th International Symposium on Wireless Communication Systems. Piscataway: IEEE, 2011.
|
| [24] |
ZHENG Z, YONG T, LI J, et al. Simulation research of UAANET based on batman-adv routing protocol[C]∥ 2022 IEEE International Conference on Unmanned Systems (ICUS). Piscataway: IEEE, 2022.
|
| [25] |
KIRAN K, KAUSHIK N P, SHARATH S, et al. Experimental evaluation of BATMAN and BATMAN-Adv routing protocols in a mobile testbed[C]∥ TENCON 2018-IEEE Region 10 Conference. Piscataway: IEEE, 2018.
|
| [26] |
GARROPPO R G, GIORDANO S, TAVANTI L. Experimental evaluation of two open source solutions for wireless mesh routing at layer two[C]∥ IEEE 5th International Symposium on Wireless Pervasive Computing 2010. Piscataway: IEEE, 2010.
|
| [27] |
SU Y, NGUYEN K, SEKIYA H. Recovery time evaluation of Ad-hoc routing protocols in IoT-blockchain[C]∥ 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech). Piscataway: IEEE, 2022.
|
| [28] |
KARMAKAR P, SHAH V K, ROY S, et al. Reliable backhauling in aerial communication networks against UAV failures: A deep reinforcement learning approach[J]. IEEE Transactions on Network and Service Management, 2022, 19(3): 2798-2811.
|
| [29] |
ZHANG J B, WANG T, WANG J J, et al. Multi-UAV collaborative surveillance network recovery via deep reinforcement learning[J]. IEEE Internet of Things Journal, 2024, 11(21): 34528-34540.
|
| [30] |
WANG A, ZHU X, QU Y, et al. Quick gateway switching for reliable data collection in multi-gateway UAV networks with gateway failures[J]. IEEE Transactions on Vehicular Technology, 2026,75(3):4771-4784.
|
| [31] |
CROWE W B, OH T T. Continual 4G cell coverage for the nodes during a gateway failure using BATMAN-Adv[C]∥ International Conference on Information and Communication Technology Convergence (ICTC). Piscataway: IEEE, 2020.
|
| [32] |
Raspberry Pi Ltd. Raspberry Pi 4 Model B datasheet[EB/OL]. (2024-03-12)[2025-11-29].
|