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作 者:段辉[1] 张岩[1] 杨京晶[1] 李可民[1] Duan Hui;Zhang Yan;Yang Jingjing;Li Kemin(Beijing Institute of Aerospace Information,Beijing 100854,China)
出 处:《单片机与嵌入式系统应用》2022年第4期24-28,共5页Microcontrollers & Embedded Systems
摘 要:为了提升数据机房中数据聚合能力,满足实时数据传输和网络节能要求,提出了异构无线传感网络局部树重建算法。首先,通过对局部网络拓扑的维护和重构获取最优异构数据传输网络拓扑结构;其次,提出数据聚合技术保证网络中节点低能耗及数据传输的低延迟,从而延长网络的生存期。通过仿真分析,与GIT和DATA相比,所提算法性能明显更优,网络寿命提高约45%,节点能耗的方差仅为0.02。In order to improve the data aggregation ability in the data room and meet the requirements of real-time data transmission and network energy saving,a local tree reconstruction algorithm for heterogeneous wireless sensor networks is proposed.Firstly,the optimal heterogeneous data transmission network topology is obtained by maintaining and reconstructing the local network topology.Secondly,data aggregation technology is proposed to ensure low energy consumption and low delay of data transmission,so as to prolong the lifetime of the network.Through simulation analysis,compared with GIT and data,the performance of the proposed algorithm is significantly better,the network lifetime is increased by 45%,and the variance of node energy consumption is only 0.02.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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