计弱连接条件下网络数据多信道传输节点路径调控方法
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摘要
针对传统方法在计弱连接条件下调控网络数据传输路径时,无法均匀调整传输节点路径上的信息量,导致数据传输能耗较大且数据传输效率低,提出一种计弱连接条件下网络数据多信道传输节点路径调控方法。构建网络数据多信道传输节点模型,确定最佳的数据传输节点路径队列,使传输节点路径上的信息量均匀传输。利用信道分配的路径调控方法进行数据传输节点路径优化,有效降低数据传输能耗,提高了数据多信道节点传输效率,完成对计弱连接条件下网络数据多信道传输节点路径的调控。实验结果表明,该方法有效提高了数据多信道节点传输的效率,可有效解决传统方法存在的弊端,对该领域发展有着重要意义。
The traditional method can′ t regulate the information content on the path of network data transmission node evenly under the condition of weak connection,which leads to large energy consumption and low efficiency of data transmission.Therefore,a path regulation method for multi-channel transmission nodes under weak connection condition is proposed. The network data multi-channel transmission node model is constructed to determine the best path queue of data transmission nodes,so the information content on the transmission node path can be uniformly transmitted. The path regulation method of channel allocation is used to optimize the data transmission node path,which can effectively reduce the energy consumption of data transmission,improve the transmission efficiency of multi-channel nodes,and complete the path regulation of network data multi-channel transmission nodes under weak connection condition. The experimental results show this method can improve the transmission efficiency of data multi-channel transmission nodes effectively,solve the shortcomings of traditional methods validly,and has important significance for the development of this field.
The traditional method can′ t regulate the information content on the path of network data transmission node evenly under the condition of weak connection,which leads to large energy consumption and low efficiency of data transmission.Therefore,a path regulation method for multi-channel transmission nodes under weak connection condition is proposed. The network data multi-channel transmission node model is constructed to determine the best path queue of data transmission nodes,so the information content on the transmission node path can be uniformly transmitted. The path regulation method of channel allocation is used to optimize the data transmission node path,which can effectively reduce the energy consumption of data transmission,improve the transmission efficiency of multi-channel nodes,and complete the path regulation of network data multi-channel transmission nodes under weak connection condition. The experimental results show this method can improve the transmission efficiency of data multi-channel transmission nodes effectively,solve the shortcomings of traditional methods validly,and has important significance for the development of this field.
引文
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[11]张建伟,潘秀琴.一种联合多信道分配决策的认知Mesh系统数据传输优化算法[J].计算机应用研究,2016,33(2):567-570.ZHANG Jianwei,PAN Xiuqin. Cognitive Mesh system data transfer optimization algorithm based on joint multi-channel allocation decisions[J]. Application research of computers,2016,33(2):567-570.
[2] NISHIOKA J. Path control device,path control system,path control method,and non-transitory computer readable medium[J]. Fresh patents,2016,34(3):34-45.
[3]侯贵升,吴晓蓓,黄成,等.混合型异构传感器网络中移动数据收集器的路径优化[J].控制与决策,2016,31(7):1285-1290.HOU Guisheng,WU Xiaobei,HUANG Cheng,et al. Optimizing path selection for mobile data collector in hybrid heterogeneous sensor networks[J]. Control and decision,2016,31(7):1285-1290.
[4]闫伟,史洪玮.网络数据多信道传输路径规划方法研究[J].计算机仿真,2016,33(8):284-287.YAN Wei,SHI Hongwei. Multi channel network data transmission path planning method research[J]. Computer simulation,2016,33(8):284-287.
[5]刘飞强,周新志.有源星型光纤CAN网络的数据传输系统的研究设计[J].计算机测量与控制,2015,23(11):3846-3848.LIU Feiqiang,ZHOU Xinzhi. Design of data transmission system based on active star fiber CAN bus[J]. Computer measurement&control,2015,23(11):3846-3848.
[6]杨志勇,叶冯彬,冯艳辉,等.有向非负权图中经过必经节点集最短路径算法[J].电子设计工程,2017,33(16):32-36.YANG Zhiyong,YE Fengbin,FENG Yanhui,et al. The shortest path algorithm through the necessary node set in directed non negative weight graph[J]. Electronic design engineering,2017,33(16):32-36.
[7]胡代弟.远程实验数据传输中加密数据防丢失方法研究[J].科学技术与工程,2016,16(31):61-65.HU Daidi. The remote experiment data encrypted data loss prevention method in the study[J]. Science technology and engineering,2016,16(31):61-65.
[8]吴意乐,何庆.基于改进遗传模拟退火算法的WSN路径优化算法[J].计算机应用研究,2016,33(10):2959-2962.WU Yile,HE Qing. WSN path optimization algorithm based on improved genetic simulated annealing algorithm[J]. Application research of computers,2016,33(10):2959-2962.
[9] THOMSEN B C,LAVERY D,PHILLIPS I D,et al. Unrepeatered Nyquist PDM-16QAM transmission over 364 km using Raman amplification and multi-channel digital back-propagation[J]. Optics letters,2015,40(13):3025-3028.
[10]陈志华.分布式云计算环境下的海量数据有效查询方法[J].科技通报,2015,31(8):222-224.CHEN Zhihua. Huge amounts data effective query methods in distributed cloud computing environment[J]. Bulletin of science and technology,2015,31(8):222-224.
[11]张建伟,潘秀琴.一种联合多信道分配决策的认知Mesh系统数据传输优化算法[J].计算机应用研究,2016,33(2):567-570.ZHANG Jianwei,PAN Xiuqin. Cognitive Mesh system data transfer optimization algorithm based on joint multi-channel allocation decisions[J]. Application research of computers,2016,33(2):567-570.