关于物联网用户信息传送路径优化选择仿真

Simulation of User Information Transfer Path Optimization for Internet of Things

对物联网用户信息的传送路径进行优化选择,能够有效降低用户信息传送过程能耗。对用户信息传送路径进行优化选择,需要利用评价标准构成的判断矩阵,建立适应度函数,完成物联网用户信息传送路径的优化选择。传统方法首先以种群编码为依据,对适应度函数、交叉算子等进行改进,但忽略了建立适应度函数,导致路径选择精度低。提出改进遗传算法的物联网用户信息传送路径优化选择方法,首先利用评价标准构成的判断矩阵,生成物联网用户信息传送路径选择的目标函数,改进遗传算法建立物联网用户信息传送的适应度函数,对选择的目标函数进行求解,从而实现物联网用户信息传送路径优化选择,实验结果表明,所提方法提高了用户信息传送速度,降低用户信息传送的损耗和成本。

This research focuses on a method for path optimization selection of Internet user information transmis- sion based on improved genetic algorithm. Firstly, the judgment matrix formed by evaluation standard is used to gen- erate the objective function of path selection of Internet user information transmission, and genetic algorithm is im- proved to establish fitness function of Internet user information transmission, and then the selected objective function is solved, so as to realize the optimization and selection of transmission path of Internet user information. Experimen- tal result shows that the proposed method improves transmission rate of user information and reduces the transmission loss and cost of user information.