Neighbor Discovery with Directional Transmission in Integrated Sensing and Communication for Underwater Acoustic Networks

Abstract

This paper proposes a directional transducer-enabled neighbor discovery algorithm in integrated sensing and communication for underwater acoustic networks (ISAC-UANs). The neighbor discovery algorithm is a bidirectional scanning-based (SBA) and detection-assisted neighbor discovery (SBA-D) algorithm, which is divided into three steps. Firstly, in ISACUANs, prior knowledge about the distance away from neighbor nodes is obtained via the detection ability. Secondly, the neighbor discovery of detected nodes stage is proposed leveraging the prior knowledge to adjust the transmission power, which reduces the packet collision probability of discovering the detected neighbor nodes. Thirdly, the neighbor discovery of remaining nodes stage is proposed to discover the remaining neighbor nodes following the SBA algorithm. Furthermore, we analyze and derive the performance of the proposed SBA-D algorithm. Numerical simulation results show that the performance of the proposed SBA-D algorithm for ISAC-UANs is better than that of the SBA algorithm in underwater acoustic communication networks (UACNs).