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作 者:张诗尧 曾子维[1] 程子为 ZHANG Shiyao;ZENG Ziwei;CHENG Ziwei(School of Software,University of Science and Technology Liaoning,Anshan 114051,Liaoning,China)
机构地区:[1]辽宁科技大学软件学院
出 处:《辽宁科技大学学报》2019年第3期209-214,共6页Journal of University of Science and Technology Liaoning
摘 要:针对无线传感器网络拥堵和节点能耗不均衡问题,提出蚁群路由优化算法ACPOA。综合考虑节点剩余能量、网络使用周期以及节点间传输数据延迟,采用无线传感器收发数据信息的功耗控制模型,来优化蚁群算法启发式函数。仿真结果表明,与现有高效的数据采集无线传感器网络路由协议相比,本文提出的算法有效地降低了无线传感器网络负载,提高了无线传感器网络可用性。To solve the network congestion and the unbalanced energy consumption at nodes in wireless sensor networks,an ant colony routing optimization algorithm was proposed.Considering the residual energy of nodes,the life cycle of network,and the delay of data transmission between nodes,the heuristic function in the ant colony algorithm was optimized by adopting the power control model of sending and receiving data in a wireless sensor network.The results show that compared with the existing routing protocol for high-efficiency data acquisition wireless sensor networks,the proposed algorithm effectively reduces the load and improves the availability of wireless sensor networks.
关 键 词:无线传感器网络 蚁群算法 蚁群路由算法 能量均衡
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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