计算机科学 ›› 2026, Vol. 53 ›› Issue (6A): 260300153-9.doi: 10.11896/jsjkx.260300153
• 网络&通信 • 上一篇
蔡和倬1, 孙涛1, 胡陈晗1, 孙嘉楠2, 刘杨3, 姜阳毅1, 郑涛1
CAI Hezhuo1, SUN Tao1, HU Chenhan1, SUN Jianan2, LIU Yang3, JIANG Yangyi1 , ZHENG Tao1
摘要: 随着空间通信在低空智联网、星际互联网等领域的拓展,传统互联网难以应对节点高度动态与拓扑结构时变的挑战。针对此问题,提出一种基于标识的计算-存储-转发融合机制,构建面向空间通信的异构融合网络架构。该机制以标识体系为核心,建立束标识、网络功能标识、组件标识、族群标识与终端标识的多层映射关系,实现异构网络资源的统一调度与智能解析。在此基础上,设计涵盖束群业务层、汇聚适配层与网络组件层的三层融合架构,结合存储转发策略与分布式组网方法,完成了分布式移动网络的原型系统开发。实验结果表明,该机制在移动环境下可有效降低 35% 以上的平均传输时延,显著增强了系统的稳健性与通信资源利用效率。上述工作证实了基于标识的异构融合机制在应对高动态网络拓扑时的有效性,为构建具备标识智能调度能力的空间通信系统提供了可行的技术路径。
中图分类号:
| [1] XIAO Z Y,MAO T Q,HAN Z,et al. Near space communications:A new regime in space-air-ground integrated networks [J]. IEEE Wireless Communications,2022,29(6):38-45. [2] CLARE L P,AGRE J R,YAN T Y. Considerations on communications network protocols in deep space [C]//2001 IEEE Aerospace Conference Proceedings. Big Sky,MT,USA:IEEE,2001:943-950. [3] ZHANG G X,LIAO L Y,HE Y Z. Research on Key Technologies for Satellite Communications for Integrated Space-Air-Ground-Sea Systems [J]. Telecommunication Science,2024,40(6):11-24. [4] DENG X. Research on load balancing mechanism of intelligent controller cluster for intelligent converged identifier network[D]. Beijing:Beijing Jiaotong University,2022. [5] WANG C,AN J P,XING C W,et al. A review of covert communication technologies for spatial information networks[J]. SCIENTIA SINICA Informationis,2024,54(06):1319-1349. [6] DUAN J,LI C J,LIU H,et al. Research on domain-based routing mechanism for information-centric space-ground integrated network[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2024,36(5):847-858. [7] ZHAO K,CHINNASAMY M P,TARKOMA S. AutomaticCity Region Analysis for Urban Routing [C]//2015 IEEE International Conference on Data Mining Workshop(ICDMW). Atlantic City,NJ,USA:IEEE,2015:1136-1142. [8] HAMZA-CHERIF A,BOUSSETTA K,DIAZ G,et al. Per-formance evaluation and comparative study of main VDTN routing protocols under small- and large-scale scenarios [J]. Ad Hoc Networks,2018,81:122-142. [9] TORNELL S M,CALAFATE C T,CANO J-C,et al. Assessing the effectiveness of DTN techniques under realistic urban environments [C]//38th Annual IEEE Conference on Local Computer Networks. Sydney,NSW,Australia:IEEE,2013:573-580. [10] KARIMI R,ITHNIN N,RAZAK S A,et al. DTN routing protocols for VANETs:Issues and approaches [J]. International Journal of Computer Science Issues,2011,8(6):89-93. [11] OUBBATI O S,LAKAS A,ZHOU F,et al. A survey on position-based routing protocols for Flying Ad hoc Networks(FANETs) [J]. Vehicular Communications,2017,10:29-56. [12] DHINESH K R,RAMMOHAN A. Edge-driven resource allocation in vehicular networks:A joint framework of multi-agent reinforcement learning and demand-supply predictive modeling [J]. Results in Engineering,2025,27:106100. [13] SUI Y T,GUVENC I,SVENSSON T. Interference manage-ment for moving networks in ultra-dense urban scenarios [J]. EURASIP Journal on Wireless Communications and Networking,2015,2015(1):111. [14] KIM Y,CHOI W. Lyapunov-based energy-efficient path diversity for data transmissions in UAV networks [J]. IEEE Wireless Communications Letters,2021,10(8):1766-1770. [15] LI B,GUO X Z,ZHOU Z. Energy-efficient trajectory optimization in UAV-based Internet of Things(IoT) network with delay tolerance [M]//Cham:Springer International Publishing,2019:418-425. [16] CAO H L,ZHU W,CHEN Z C,et al. Energy-delay tradeoff for dynamic trajectory planning in priority-oriented UAV-aided IoT networks [J]. IEEE Transactions on Green Communications and Networking,2023,7(1):158-170. [17] LIU N Y,YANG X,HAN C,et al. Information-priority-oriented adaptive MAC protocol for high dynamic UAV network [J]. IEEE Sensors Letters,2021,5(8):1-4. [18] ASANO H,OKADA H,NAILA C B,et al. Communication-aware flight algorithms for UAV-based delay-tolerant networks [J]. IEICE Transactions on Communications,2023,106(11):1122-1132. [19] WANG Y,SUN G,SUN Z,et al. Toward Realization of Low-Altitude Economy Networks:Core Architecture,Integrated Technologies,and Future Directions [J]. IEEE Transactions on Cognitive Communications and Networking,2025,11(5):2788-2820. [20] SHANG B D,LI X Y,LI C G,et al. Coverage in cooperative LEO satellite networks [J]. Journal of Communications and Information Networks,2023,8(4):329-340. [21] CHEN L,TANG F L,LI X,et al. Delay-optimal cooperation transmission in remote sensing satellite networks [J]. IEEE Transactions on Mobile Computing,2023,22(9):5109-5123. [22] HAN Z Z,XU C,ZHAO G F,et al. Time-varying topologymodel for dynamic routing in LEO satellite constellation networks [J]. IEEE Transactions on Vehicular Technology,2023,72(3):3440-3454. [23] SORET B,LEYVA-MAYORGA I,LOZANO-CUADRA F,et al. Q-learning for distributed routing in LEO satellite constellations [C]//2024 IEEE International Conference on Machine Learning for Communication and Networking(ICMLCN). Stockholm,Sweden:IEEE,2024:208-213. [24] WAN Y,LONG J,LIU L M,et al. Downlink aware data scheduling with delay guarantees in resource-limited leo satellite networks [J]. Peer-to-Peer Networking and Applications,2021,14(5):3291-3306. [25] WANG F,YAO H P,HE W J,et al. Time-sensitive scheduling mechanism based on end-to-end collaborative latency tolerance for low-earth-orbit satellite networks [J]. IEEE Transactions on Network Science and Engineering,2024,11(6):5149-5162. |
|
||