Wang Ruoyu, Zheng Y Rosa
Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA.
J Acoust Soc Am. 2024 Jun 1;155(6):3782-3793. doi: 10.1121/10.0026232.
This paper investigates the impact of mobility on underwater acoustic communication networks in which the propagation delay is comparable to or larger than the packet duration. An underwater acoustic wireless network, consisting of static and mobile nodes, is studied for its link-layer channel utilization. Synchronous and asynchronous media access control (MAC) protocols are employed with ALOHA, TDMA (time-division multiple access), and artificial intelligence (AI) agent nodes. The simulation results of a multi-node network show that the asynchronous MAC protocols achieve up to 6.66× higher channel utilization than synchronous protocols by allowing time slots to be shorter than the maximum propagation delay among nodes and permitting asynchronous transmission time. The high mobility of a few mobile nodes also favors asynchronous protocols and increases the overall channel utilization. However, node mobility causes more difficulties for the AI node to learn the environment, which may be ineffective to achieve higher gains in channel utilization.
本文研究了移动性对水下声学通信网络的影响，在该网络中传播延迟与分组持续时间相当或更长。研究了一个由静态和移动节点组成的水下声学无线网络的链路层信道利用率。采用了同步和异步介质访问控制（MAC）协议，包括ALOHA、时分多址（TDMA）和人工智能（AI）代理节点。多节点网络的仿真结果表明，异步MAC协议通过允许时隙短于节点间的最大传播延迟并允许异步传输时间，实现了比同步协议高达6.66倍的信道利用率。少数移动节点的高移动性也有利于异步协议并提高了整体信道利用率。然而，节点移动性给AI节点学习环境带来了更多困难，这可能无法有效地实现更高的信道利用率增益。
