A Task-Oriented Routing Protocol for Sea-Air Cross-Domain Networks
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摘要: 随着海洋和空中作业的日益增多, 海空跨域网络成为了实现有效通信的关键技术。这类网络由水下子网和水上子网构成, 为了充分利用资源, 多种不同的应用程序将共享相同的物理设施。在这种场景下, 不同的数据包共存于同一网络中, 需要差异化的传送策略来满足应用需求。然而, 现有的路由协议往往无法根据应用需求来提供个性化的服务, 针对该问题, 文中提出了一种面向任务的海空跨域网络路由协议, 协议根据任务类型的不同调整转发因子的计算方式, 进而根据为特定的任务类型选择最合适的下一跳节点。此外, 文中还在协议栈中增加了预处理层来完成异构网络之间的通信。文中使用NS3(Network Simulator 3)进行了仿真, 仿真结果表明, 与其他典型的协议相比, 文中所提的协议总是能根据任务的特定需求实现最优的传输策略。Abstract: With the increasing frequency of maritime and aerial operations, sea-air cross-domain networks have become a pivotal technology for achieving effective communication. Comprising underwater and surface subnets, these networks aim to fully utilize resources, enabling multiple diverse applications to share the same physical infrastructure. In this scenario, different data packets coexist within the same network, requiring differentiated transmission strategies to meet application demands. However, existing routing protocols often fail to provide personalized services based on application requirements. To address this issue, this paper proposes a task-oriented routing protocol for sea-air cross-domain networks. The protocol adjusts the calculation method of forwarding factors based on the types of tasks, thereby selecting the most suitable next-hop node for specific task types. Furthermore, this paper introduces a preprocessing layer into the protocol stack to facilitate communication between heterogeneous networks. Simulation experiments conducted using NS3 demonstrate that, compared to other typical protocols, the proposed protocol consistently achieves optimal transmission strategies based on specific task requirements.
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Key words:
- task-oriented /
- cross-domain network /
- communication /
- routing protocol
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表 1 仿真参数设置
Table 1. Simulation parameter settings
参数 值 部署区域 ${\text{1}}{\text{.5}} \times {\text{1}}{\text{.5}} \times {\text{1}}{\text{.5}}\;{{\mathrm{km}}^3}$ 水下源节点数目 1 水下中继节点数目 100-500 浮标节点数目 5 无人机节点数目 5 数据负载 50 Byte 数据包发送间隔 40 s 能量模型 ns3::AquaSimEnergyModel 噪声模型 ns3::AquaSimConstNoiseGen 水上Mac ns3:: AdhocWifiMac 水下Mac ns3::AquaSimBroadcastMac 水上物理层模型 ns3::YansWifiPhy 水下物理层模型 ns3::AquaSimPhyCmn -
[1] Kong M, Kang C H, Alkhazragi O, et al. Survey of energy-autonomous solar cell receivers for satellite–air–ground–ocean optical wireless communication[J]. Progress in Quantum Electronics, 2020, 74: 100300. doi: 10.1016/j.pquantelec.2020.100300 [2] Enhos K, Demirors E, Unal D, et al. Software-defined visible light networking for bi-directional wireless communication across the air-water interface[C]//18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). Rome, Italy: IEEE, 2021: 1-9. [3] Carver C J, Tian Z, Zhang H, et al. Amphilight: Direct air-water communication with laser light[J]. GetMobile: Mobile Computing and Communications, 2021, 24(3): 26-29. doi: 10.1145/3447853.3447862 [4] Luo H, Xie X, Han G, et al. Multimodal acoustic-RF adaptive routing protocols for underwater wireless sensor networks[J]. IEEE Access, 2019, 7: 134954-134967. doi: 10.1109/ACCESS.2019.2942060 [5] 商志刚, 徐晓帆, 梁萱卓, 等. 基于卫星链路的空海跨域通信系统设计[J]. 信息通信技术与政策, 2021, (10): 63-67.Shang Zhigang, Xu Xiaofan, Liang Zhuoxuan, et al. Design of air-sea cross-domain communication system based on satellite links[J] Information and Communications Technology and Policy, 2021, (10): 63-67. [6] 李壮, 孔军, 刘鹏, 等. 水下智能跨域异构网络设计[J]. 舰船科学技术, 2020, 42(23): 137-140.Li Zhuang, Kong Jun, Liu Peng, et al. Design of underwater intelligent cross domain heterogeneous network[J]. Ship Science and Technology, 2020, 42(23): 137-140. [7] Guo H, Li J, Liu J, et al. A survey on space-air-ground-sea integrated network security in 6G[J]. IEEE Communications Surveys & Tutorials, 2021, 24(1): 53-87. [8] Qiu T, Chen N, Li K, et al. Heterogeneous ad hoc networks: Architectures, advances and challenges[J]. Ad Hoc Networks, 2017, 55: 143-152. doi: 10.1016/j.adhoc.2016.11.001 [9] 罗汉江, 卜凡峰, 王京龙, 等. 海洋物联网水面及水下多模通信技术研究进展[J]. 山东科技大学学报(自然科学版), 2023, 42(1): 79-90.Luo Hanjiang, Bu Fanfeng, Wang Jinglong, et al. Research progress of surface and underwater multimodal communication technology of marine internet of things[J]. Journal of Shandong University of Science and Technology(Natural Science), 2023, 42(1): 79-90. [10] Luo H, Wang J, Bu F, et al. Recent progress of air/water cross-boundary communications for underwater sensor networks: a review[J]. IEEE Sensors Journal, 2022, 22(9): 8360-8382. doi: 10.1109/JSEN.2022.3162600 [11] Chen L K, Shao Y, Di Y. Underwater and water-air optical wireless communication[J]. Journal of Lightwave Technology, 2022, 40(5): 1440-1452. doi: 10.1109/JLT.2021.3125140 [12] Zhu S, Chen X, Liu X, et al. Recent progress in and perspectives of underwater wireless optical communication[J]. Progress in Quantum Electronics, 2020, 73: 100274. doi: 10.1016/j.pquantelec.2020.100274 [13] Ji Z, Fu Y, Li J, et al. Photoacoustic communication from the air to underwater based on low-cost passive relays[J]. IEEE Communications Magazine, 2021, 59(1): 140-143. doi: 10.1109/MCOM.001.2000607 [14] Qu F, Qian J, Wang J, et al. Cross-medium communication combining acoustic wave and millimeter wave: Theoretical channel model and experiments[J]. IEEE Journal of Oceanic Engineering, 2021, 47(2): 483-492. [15] Wang H, Yang K, Zheng K, et al. Experimental investigation on electromagnetic wave propagation across sea-to-air interface[C]//OCEANS 2014, Institute of Electrical and Electronics Engineers, Taipei: Taiwan, 2014, 1-6 [16] Watson M C, Bousquet J F, Forget A. Evaluating the Feasibility of Magnetic Induction to Cross the Air-Water Boundary[C]//2021 Fifth Underwater Communications and Networking Conference (UComms). Lerici, Italy, 2021, 1-4. [17] Pal A, Kant K. NFMI: Near field magnetic induction based communication[J]. Computer Networks, 2020, 181(9): 107548. [18] 李从改, 刘锋, 徐涴砯, 等. 智能水下应急通信一体化探讨[J]. 数字海洋与水下攻防, 2022, 5(4): 285-292.Li Conggai, Liu Feng, Xu Wanping, et al. Discussion on Integration of Intelligent Underwater Emergency Communication[J]. Digital Ocean& Underwater Warfare, 2022, 5(4): 285-292. [19] Liu J, Du X, Cui J, et al. Task-oriented intelligent networking architecture for the space–air–ground–aqua integrated network[J]. IEEE Internet of Things Journal, 2020, 7(6): 5345-5358. doi: 10.1109/JIOT.2020.2977402 [20] Wang Q, Dai H N, Wang Q, et al. On connectivity of UAV-assisted data acquisition for underwater Internet of Things[J]. IEEE Internet of Things Journal, 2020, 7(6): 5371-5385. doi: 10.1109/JIOT.2020.2979691 [21] Wang B, Zhang H, Zhu Y, et al. Adaptive Power-Controlled Depth-Based Routing Protocol for Underwater Wireless Sensor Networks[J]. Journal of Marine Science and Engineering, 2023, 11(8): 1567. doi: 10.3390/jmse11081567 [22] PERRONE L F, HENDERSON T R, WATROUS M, et al. The design of an output data collection framework for NS-3[C]//2013 Winter Simulation Conference : SIMULATION : Making Decisions in a Complex World: 2013 Winter Simulation Conference (WSC 13), Washington, DC: Institute of Electrical and Electronics Engineers, 2013: 2984-2995. [23] Yan H, Shi Z J, Cui J H. DBR: Depth-based routing for underwater sensor networks[C]//NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet: 7th International IFIP-TC6 Networking Conference Singapore, May 5-9, 2008 Proceedings 7. Springer Berlin Heidelberg, 2008, 72-86. [24] Wahid A, Lee S, Jeong H J, et al. Eedbr: Energy-efficient depth-based routing protocol for underwater wireless sensor networks[C]//Advanced Computer Science and Information Technology: Third International Conference, AST 2011, Seoul, Korea, September 27-29, 2011. Proceedings. Springer Berlin Heidelberg, 2011, 223-234. [25] Wang Z, Han G, Qin H, et al. An energy-aware and void-avoidable routing protocol for underwater sensor networks[J]. Ieee Access, 2018, 6: 7792-7801. doi: 10.1109/ACCESS.2018.2805804 [26] Martin R, Zhu Y, Pu L, et al. Aqua-sim next generation: A NS-3 based simulator for underwater sensor networks[C]//Proceedings of the 10th International Conference on Underwater Networks & Systems., Washington, DC, USA: Association for Computing Machinery, 2015, 1-2.