摘要
无线传感器网络(WSN)被广泛应用于黄河流域生态环境智能监测,传感器节点能耗和寿命是无线传感器网络路由选择面临的关键问题。为了降低路由选择过程中的节点能耗,防止节点过早死亡,将演化算法应用于WSN路由选择优化,在传统优化算法的基础上进行改进,将改进的自适应演化算法应用于路由选择优化,并随机选取黄河流域100个节点的WSN拓扑结构模型验证本算法的有效性。结果表明:改进算法和传统演化算法、蚁群算法相比,在无线传感器网络路由选择优化中,有效降低了传感器能耗,缩短了算法收敛时间,延长了WSN寿命,增强了连接可靠性,实现了黄河流域生态环境实时监测保护。
In order to improve the quality of ecological environment protection,wireless sensor network(WSN)is widely used in the ecological environment intelligent monitoring in the Yellow River Basin.The energy consumption and lifespan of sensor nodes are the key issues faced in wireless sensor network routing.In order to reduce the energy consumption of nodes in the routing process and prevent nodes from dying prematurely,the evolutionary algorithm was applied to WSN routing optimization.This paper improved the traditional optimization algorithm and applied the improved adaptive evolution algorithm to routing optimization,and randomly selected 100-node WSN topology model to 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,improves the algorithm convergence speed,prolongs the life of WSN,enhances the connection reliability and realizes real-time monitoring and protection of ecological environment in the Yellow River Basin.
作者
王军
王超梁
赵雪专
WANG Jun;WANG Chaoliang;ZHAO Xuezhuan(Institute of Big Data Science,Zhengzhou University of Aeronautics,Zhengzhou 450046,China)
出处
《人民黄河》
CAS
北大核心
2021年第6期159-162,共4页
Yellow River
基金
河南省高等学校重点科研项目(20A520041)
河南省重点科技攻关项目(202102210375,212102210518)
2021年度河南科技智库调研项目(HNKJZK-2021-61C)。
关键词
无线传感器网络
演化算法
路由选择
能耗
生态环境监测
wireless sensor network
evolutionary algorithm
route selection
energy consumption
ecological environment monitoring
