基于AUG的海洋牧场水质监测网络动态仿真

Dynamic Simulation of Marine Pasture Water Quality Monitoring Network Based on AUG

海洋牧场的发展对水质监测提出了更高的要求,为了实现大规模、长时间的水下水质监测,针对一种基于水下滑翔机(AutonomousUnderwaterGlider,AUG)的传感器网络(AUG-based Underwater Sensor Network,AUSN)开展研究。该网络引入AUG作为传感器网络的水下汇聚节点,对传感器采用休眠调度机制,能够有效降低网络总能耗。在分析水下传感器网络的能耗特点的基础上,论述了传感器网络的能耗计算公式。结合虚拟可视化技术,构建了AUSN仿真平台,用可视化技术展现AUG在水质监测的工作过程及网络实时能耗。

The development of marine pastures puts forward higher requirements for water quality monitoring. In order to achieve large-scale and long-term underwater water quality monitoring, AUG-based Underwater Sensor Network(AUSN) is studied. The AUG is introduced as the underwater sink node of the sensor network and the sleep scheduling mechanism is adopted for the sensors, which can effectively reduce the total energy consumption of the network. Based on the analysis of energy consumption characteristics of underwater sensor networks, the energy consumption calculation formula of underwater sensor networks is discussed. Combined with the virtual visualization technology, the underwater sensor network simulation platform is constructed. Visualization technology is used to show the working process of AUG in water quality monitoring and real-time energy consumption of the network.