黄河流域生态环境监测ＷＳＮ 路由优化方法研究.

In order to improve the quality of ecological environment protection, wireless sensor network (WSN) is widely used in the ecol cal environment intelligent monitoring in the Yellow River Basin. The energy consumption and lifespan of sensor nodes are the key iss faced in wireless sensor network routing. In order to reduce the energy consumption of nodes in the routing process and prevent nodes from ing prematurely, the evolutionary algorithm was applied to WSN routing optimization. This paper improved the traditional optimization alg rithm and applied the improved adaptive evolution algorithm to routing optimization, and randomly selected 100-node WSN topology model verify the effectiveness of the algorithm. The results show that compared with the traditional evolutionary algorithm and ant colony algorithm the algorithm in this paper effectively reduces the energy consumption of sensors in the routing optimization of wireless sensor networks, in proves the algorithm convergence speed, prolongs the life of WSN, enhances the connection reliability and realizes real-time monitoring an protection of ecological environment in the Yellow River Basin. [ABSTRACT FROM AUTHOR]