Underwater acoustic sensor network (UASN) is an emerging technology meant for underwater explorations. In underwater communication, the acoustic signal travels a longer distance with smaller bandwidth. Characteristics of the acoustic channel and the distance between underwater sensor nodes vary with time due to the variations in the water current. This affects the channel quality as well as the topology of the network. Connectivity issues in UASN cause transmission reliability challenges, in transferring the data sensed by various sensor nodes to the other end. Thus, data reliability and energy efficiency are the two critical issues in the case of UASN. The robust signal attenuation leads to the reception of erroneous data or data loss. In this paper, Recursive Luby transform (RLT) code-based Hybrid Automatic Repeat reQuest is proposed to overcome the data reliability issues and to obtain transmission efficiency. RLT is a form of Luby transform code with small degree of distribution. The proposed rateless code-based Hybrid ARQ scheme combines the RLT code and selective retransmission ARQ (RLTCH). The RLT code is adopted for its minimal complexity in encoding and decoding processes. The performance of RLTCH is evaluated by considering the underwater-specific channel characteristics. Simulation results of RLTCH for multi-hop UASN reveal that the proposed technique increase the network throughput with reduced energy consumption and end-to-end delay. Comparative performance studies were conducted to confirm the superiority of RLTCH with other schemes based on parameters such as throughput, packet arrival ratio, delay and energy consumption.

水下声学传感器网络 (UASN) 是一种用于水下探索的新兴技术。在水下通信中，声信号以较小的带宽传播更长的距离。由于水流的变化，声学通道的特性和水下传感器节点之间的距离随时间变化。这会影响信道质量以及网络的拓扑结构。UASN 中的连接问题导致传输可靠性挑战，将各种传感器节点感应到的数据传输到另一端。因此，数据可靠性和能源效率是 UASN 的两个关键问题。强大的信号衰减导致错误数据的接收或数据丢失。在本文中，提出了基于递归鲁比变换（RLT）代码的混合自动重复请求，以克服数据可靠性问题并获得传输效率。RLT 是一种分布程度较小的 Luby 变换码形式。所提出的基于无速率码的混合 ARQ 方案结合了 RLT 码和选择性重传 ARQ (RLTCH)。采用 RLT 码是因为它在编码和解码过程中的复杂性最小。RLTCH 的性能是通过考虑水下特定信道特性来评估的。多跳UASN的RLTCH仿真结果表明，该技术提高了网络吞吐量，同时降低了能耗和端到端延迟。进行了比较性能研究，以确认 RLTCH 与基于吞吐量等参数的其他方案的优越性，