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基于细菌趋化的果蝇优化算法的ZigBee网络路由优化 被引量:4

ZigBee network routing optimization based on bacterial chemotaxis for fruit fly optimization
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摘要 针对ZigBee网络中AODVjr路由算法存在的总体能耗大的不足,提出一种新的路由算法。新路由算法采用细菌趋化的果蝇优化算法来改进AODVjr路由算法,通过最佳味道浓度对AODVjr路由表更新,当最佳味道浓度最小时,其对应的最佳路径作为优化结果。仿真结果表明,改进的算法能有效地降低网络的总体能量消耗和死亡节点数目,并增强了最优路径搜索的能力,从而提高了ZigBee网络的通信效率。 Aiming at the problem of total energy consumption of AODVjr routing algorithm in ZigBee network, a new routing algorithm is proposed. The new routing algorithm uses the bacterial chemotaxis fruit fly optimization algorithm to improve the AODVjr routing algorithm,update the AODVjr routing table with the optimal flavor concentration. when the best flavor concentration is the minimum, the corresponding optimal path is used as the optimization result. According to results of Simulation, the total energy consumption of the network can be saved, the number of dead nodes can be reduced, the network lifetime can be maximized and the ability of optimal path search can be enhanced effectively by the improved algorithm to improve the ZigBee network communication efficiency.
作者 陈海平 CHEN Haiping(Southern Power Grid Tiaofeng FM Power Generation Co.,Ltd.,Information and Communication Center,Guangzhou Guangdong,510000)
出处 《自动化与仪器仪表》 2018年第11期191-194,共4页 Automation & Instrumentation
基金 IT集中运行监控系统建设项目(020000HK41140005)
关键词 ZIGBEE网络 最优路径 AODVjr算法 果蝇优化算法 ZigBee network optimal path AODVjr algorithm fruit fly optimization algorithm
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