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作 者:Li Cuiran Liu Shuqi Xie Jianli Liu Li
机构地区:[1]School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
出 处:《China Communications》2025年第3期115-131,共17页中国通信(英文版)
基 金:partially supported by the National Natural Science Foundation of China(62161016);the Key Research and Development Project of Lanzhou Jiaotong University(ZDYF2304);the Beijing Engineering Research Center of Highvelocity Railway Broadband Mobile Communications(BHRC-2022-1);Beijing Jiaotong University。
摘 要:In order to solve the problems of short network lifetime and high data transmission delay in data gathering for wireless sensor network(WSN)caused by uneven energy consumption among nodes,a hybrid energy efficient clustering routing base on firefly and pigeon-inspired algorithm(FF-PIA)is proposed to optimise the data transmission path.After having obtained the optimal number of cluster head node(CH),its result might be taken as the basis of producing the initial population of FF-PIA algorithm.The L′evy flight mechanism and adaptive inertia weighting are employed in the algorithm iteration to balance the contradiction between the global search and the local search.Moreover,a Gaussian perturbation strategy is applied to update the optimal solution,ensuring the algorithm can jump out of the local optimal solution.And,in the WSN data gathering,a onedimensional signal reconstruction algorithm model is developed by dilated convolution and residual neural networks(DCRNN).We conducted experiments on the National Oceanic and Atmospheric Administration(NOAA)dataset.It shows that the DCRNN modeldriven data reconstruction algorithm improves the reconstruction accuracy as well as the reconstruction time performance.FF-PIA and DCRNN clustering routing co-simulation reveals that the proposed algorithm can effectively improve the performance in extending the network lifetime and reducing data transmission delay.
关 键 词:CLUSTERING data gathering DCRNN model network lifetime wireless sensor network
分 类 号:TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程] TP311.13[自动化与计算机技术—检测技术与自动化装置]
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