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正六边形分区的混合差分进化萤火虫路由算法

Hybrid differential evolutionary firefly routing algorithm based on hexagonal partition
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摘要 从平衡无线传感器网络节点负载的目的出发,设计六边形分区的混合差分进化萤火虫路由算法。首先,对网络虚拟划分正六边形网格,在每个网格内选出剩余能量最大的节点作为备选簇头;其次,通过混合差分进化萤火虫算法对备选簇头节点的剩余能量、节点密度和与Sink节点之间的距离三个方面进行评价,选举最优簇头;最后,簇间根据距离和能量指标以多跳的方式建立簇间数据传输路由机制。通过仿真结果得出,该算法较好地保证了数据传输的均衡性,均衡了网络中各个位置节点的能量消耗,达到了延长网络寿命的目的。 A hybrid differential evolutionary firefly routing algorithm based on hexagonal partition(HDEFA⁃HP)is designed for the purpose of balancing node load of the wireless sensor networks(WSNs).The algorithm is used to virtually divide network into hexagonal grids,from which the nodes with the largest residual energy are selected as the alternative cluster⁃heads.The HDEFA is used to evaluate the residual energy and node density of the alternative cluster⁃head nodes,and the distance between the alternative cluster⁃head nodes and the Sink node,so as to get the optimal cluster⁃head.According to the distance and energy index,the routing mechanism of data transmission between clusters is established in a multi⁃hop way.The simulation results show that the proposed algorithm can ensure the equilibrium of data transmission and balance the energy consumption of each node in the network,so as to extend the network life.
作者 刘宏 何鸿燊 LIU Hong;HE Hongshen(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处 《现代电子技术》 2022年第3期28-33,共6页 Modern Electronics Technique
基金 国家自然科学基金项目(61163063)。
关键词 萤火虫路由算法 差分进化算法 无线传感器网络 虚拟分区 正六边形网格 簇头选举 多跳数据传输 firefly routing algorithm differential evolutionary algorithm WSN hexagon partition hexagon grid cluster⁃head selection multi⁃hop data transmission
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