计算机科学
路由协议
聚类分析
计算机网络
水下
声传感器
布线(电子设计自动化)
水声通信
增强型内部网关路由协议
区域路由协议
协议(科学)
无线路由协议
声学
人工智能
物理
地质学
医学
海洋学
替代医学
病理
作者
Yue Zhao,Liang Ge,Shilu Tan,Xi Zhu,Zhixian Song,Yougan Chen
标识
DOI:10.1109/icspcc59353.2023.10400239
摘要
With the development of Marine economy, underwater acoustic sensor networks (UASNs), as an important means to acquire Marine information, will be more and more important. The design of efficient and reliable routing protocols to improve UASNs' performance has become a current research focus. In this paper, we propose a clustering guiding-network based routing (CGNBR) protocol for large scale UASNs, where K-Means clustering algorithm is used to improve the existing opportunity routing protocol's guiding-network transmission mechanism. After clustering the guiding-network, when the network is abnormal, it only needs to rebuild the failed guiding-network cluster instead of the entire guiding-network, which can reduce the transmission delay and energy consumption caused by the network rebuilding. The cluster head node is responsible for the packet transmission when the cluster is abnormal, which reduces the transmission delay and improves the packet delivery ratio. Simulation results show that the proposed CGNBR method can reduce transmission delay and network energy consumption, while improving the packet delivery ratio.
科研通智能强力驱动
Strongly Powered by AbleSci AI