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机构地区:[1]商丘工学院信息与电子工程学院,河南商丘476000
出 处:《计算机仿真》2017年第7期223-226,共4页Computer Simulation
基 金:2016河南省科技厅科技攻关项目(62102210361)
摘 要:无线网络备份路径信号的传输,可以有效的抑制无线网络中的动态可变性。传统方法融合于神经网络给出原始信号的观测方程,再进行随机采样,忽略了采样样本的不均匀性,导致信号传输精准度低。提出基于萤火虫的无线网络备份路径信号传输方法。融合压缩感知理论对离散信号进行采样,提取传输信号稀疏特征,组建信号的压缩测量矩阵,给出噪声下传感器接收到的信号矢量,将备份路径信号传输问题转换为信号测量矩阵恢复稀疏向量的问题,融合萤火虫粒子方法将信号稀疏向量等效为萤火虫编码,建立无线网络备份路径信号传输目标函数,对萤火虫编码进行更新,通过更新群体最优函数值编码值完成对无线网络备份路径信号优化传输。仿真结果表明,所提方法信号传输精确度高,适用范围广,可以有效地提升无线网络使用效率。A signal transmission method of backup path in the wireless network is proposed based on the glow- worm. Firstly, the discrete signal integrated with the compressed sensing is sampled, and the sparse feature of trans- mission signal is extracted to build the compressing measurement matrix of signal. Then, the signal vector received by the sensor under the noise is given out, and the signal transmission of backup path is converted into the recovering sparse vector of signal measurement matrix. Moreover, the signal sparse vector equivalent is made to glowworm coding integrated with the glowworm particle method and the objective function for the signal transmission of backup path is built to update the glowworm coding. Finally, the signal optimization transmission of backup path is completed through updating the coding value of group optimal function value. The simulation results show that the method has high signal transmission precision. It can improve the service efficiency of wireless network effectively.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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