高山流域降水无线传感器网络节点布局优化方法

降水无线传感器网络节点布局对于准确分析降水时空分布规律和降低运维成本至关重要,是智慧流域物联网观测系统建设的关键问题和难点.针对高山流域的特点,在考虑路网约束的基础上,耦合回归克里格和模拟退火算法,提出了一种基于并行计算架构的流域降水无线传感器网络优化布局方法.利用该方法分析了雅砻江中下游流域现状站网的合理性,并进行站点优化布局研究.结果表明,基于回归克里格的优化布局方法可以对降水无线传感器网络进行合理优化布局,优化布局站点以相对较低的站网密度很好地捕捉了降水在空间上的分布规律;采用并行设计模拟退火算法进行降水无线传感器网络优化布局可以成倍的节省程序运行时间,显著提高优化布局效率.

Optimization design of the precipitation wireless sensor network node for high mountain basin

The layout of precipitation wireless sensor network node is very important for accurately analyzing the temporal and spatial distribution of precipitation and reducing the operating and maintenance costs. It is a key problem and difficulty in the construction of the internet of things observation system in smart basin. In this paper, according to the characteristics of the basin in the mountain region, a method for optimizing the design of precipitation wireless sensor network based on parallel computing architecture in the basin is proposed, which considered the restriction of road network. The method is used to analyze the rationality of the current station network and optimize the layout of the stations in the middle and lower reaches of the Yalong river basin. The results demonstrate that this sampling optimization method can give a rational layout of precipitation wireless sensor network which generally obtain the spatial distribution of precipitation. It can manyfold save the running time of the program and significantly improve the efficiency to optimize the design of precipitation wireless sensor network using the simulated annealing algorithm based on concurrent design.