article · IEEE Internet of Things Journal · 2024
Push-Hybrid Data Forwarding in Underwater Named Data Networking
Ruoyu Wang, Yingjian Liu, Jinhui Liu, Haoyu Yin, Zhongwen Guo
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Abstract
Internet of Underwater Things (IoUT) is applied to ocean research by connecting underwater sensing devices. It has ability to maintain efficient communication even in challenging environments and with limited power resources. However, it hinders the efficient storage and forwarding of huge amounts of underwater data due to the traditional IP architecture. As a future network architecture, underwater named data networking (UNDN) is considered an effective architecture of IoUT. While naive UNDN cannot support active forwarding when dangers occur in underwater environments, which may cause severe consequences. In this article, we propose an event-based communication architecture called push-hybrid UNDN, which can achieve active and timely forwarding when critical events occur. To realize critical data forwarding without waiting for user requests, passively accepted interest is replaced by actively forwarded beacon during the critical events. The push-hybrid UNDN is analyzed and compared with the naive one in transmission performance to highlight the advantages of incorporating push mechanism. Energy consumption of push-hybrid UNDN, naive UNDN, and push-based UNDN is compared in different scenarios to demonstrate the advantages of hybrid design. Simulation results verify that our scheme achieves shorter transmission delay, more stable and higher packet delivery ratio, less traffics, and lower energy consumption than the existing UNDN architectures.
Cite this paper
Wang, R., Liu, Y., Liu, J., Yin, H., & Guo, Z. (2024). Push-Hybrid Data Forwarding in Underwater Named Data Networking. IEEE Internet of Things Journal, 11(24), 40319–40330. https://doi.org/10.1109/jiot.2024.3450683
Wang, Ruoyu, et al. “Push-Hybrid Data Forwarding in Underwater Named Data Networking.” IEEE Internet of Things Journal, vol. 11, no. 24, 2024, pp. 40319–30, https://doi.org/10.1109/jiot.2024.3450683.
Wang, Ruoyu, Yingjian Liu, Jinhui Liu, Haoyu Yin, and Zhongwen Guo. 2024. “Push-Hybrid Data Forwarding in Underwater Named Data Networking.” IEEE Internet of Things Journal 11 (24): 40319–30. https://doi.org/10.1109/jiot.2024.3450683.
Wang, R. et al. (2024) ‘Push-Hybrid Data Forwarding in Underwater Named Data Networking’, IEEE Internet of Things Journal, 11(24), pp. 40319–40330. Available at: https://doi.org/10.1109/jiot.2024.3450683.
@article{wang2024push,
title = {{Push-Hybrid Data Forwarding in Underwater Named Data Networking}},
author = {Wang, Ruoyu and Liu, Yingjian and Liu, Jinhui and Yin, Haoyu and Guo, Zhongwen},
journal = {IEEE Internet of Things Journal},
volume = {11},
number = {24},
pages = {40319--40330},
year = {2024},
doi = {10.1109/jiot.2024.3450683}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.