无线网络异质复杂信息节点搜索路径寻优仿真

Search Path Optimization Simulation of Heterogeneous Complex Information Node in Wireless Network

对异质复杂信息节点搜索路径的寻优,能够有效改善无线网络的信息搜索效率。对异质复杂信息的节点搜索路径进行寻优,需要先减少异质信息节点存储冗余,描述异质信息节点数据能量的消耗,完成异质复杂信息节点搜索路径的寻优。传统方法采用信标进行异质复杂信息节点定位的路径寻优方法,对无线网络中信标节点进行布局,但忽略了对异质信息节点能量消耗的求取,导致节点搜索路径并不是最优路径。提出基于遗传算法的寻优方法,以无线网络路径作为建模的基本元素,将基本属性信息保存到混乱节点搜索路径上,能够减少异质复杂信息的存储冗余,提高查询效率;采用二次衰落模型描述异质复杂信息节点处理数据消耗的能量;采用遗传算法对模型进行求解优化,实现无线网络异质复杂信息节点搜索路径的寻优。实验结果表明,所提方法具有较好的寻优性能,寻优效率高,节省了大量网络能量。

The optimization for search path of heterogeneous complex information nodes can effectively improve the efficiency of information search in wireless networks. Traditional methods ignore the energy consumption of heterogeneous information nodes so that the node search path is not the optimal path. Therefore, an optimization method based on genetic algorithm was put forward. The path of wireless network was taken as basic elements for modeling, and the basic attribute information was saved to the search path of chaotic node, which could reduce the storage redundancy of heterogeneous complex information and improve the query efficiency. The secondary fading model was used to describe the energy consumption that heterogeneous complex information node processed data. Finally, the genetic algorithm was used to solve and optimize the model. Thus, the optimization of search path of heterogeneous complex information node in wireless network was achieved. Simulation results prove that the proposed method has good optimization performance and high efficiency of optimization, which saves a large amount of network energy.