基于自组织图算法的水下传感器网络优化部署研究

水下传感器网络部署是开展水下传感器网络相关应用的基础,良好的传感器节点部署方案可以有效提高目标的监测质量;针对水环境中随机事件的突发性和不确定的特点,提出了基于自组织图算法的水下传感器网络优化部署方案;首先,随机部署传感器节点,预设随机事件呈L型不均匀分布,当随机事件发生在传感器覆盖漏洞处时,采用自组织图算法确定传感器节点需要移动到的目标位置;仿真结果表明,基于自组织图算法的水下传感器网络优化部署方案可以显著提高对随机事件的覆盖率,实现对水环境的有效监测。

Research on Optimal Deployment of Underwater Sensor Networks Based on Self-Organizing Map Algorithm

The deployment of underwater sensor nodes is the basic work for the application of underwater sensor networks. A good deployment scheme of sensor nodes can effectively improve the monitoring quality of targets. In view of the high dynamic and uncertain characteristics of random events in the water environment, an optimal deployment scheme of underwater sensors networks based on self-organizing map algorithm is proposed. Firstly, the sensors are deployed randomly, and the random events are assumed to be unevenly distributed in L shape. When a random event occurs at the blind area, the self-organizing map algorithm is used to determine the target position to which the underwater sensor needs to move. The simulation results show that the optimal deployment scheme of underwater sensors networks based on self-organizing map algorithm can significantly improve the coverage of random events and achieve effective monitoring of the water environment.