基于大数据传输优化模拟研究

Simulation and Optimization of Large Data Transmission Based

在互联网领域,网络优化是确保网络质量,提升网络资源利用率的有效手段。一般而言,利用大数据技术进行网络优化的过程可分为三个阶段:数据来源和获取、数据存储、数据分析。跨层设计是提升整个无线传感器网络性能的一种有效方法。在三个因素综合考虑,如MAC层诡计多端的,物理的功率控制、网络层路由,超宽带技术和低的信号功率和实现网络的最大数据传输速率的目的相结合,构建无线传感器网络跨层优化模型基于UWB技术。

In the field of Internet, the network optimization is to ensure that the network quality, effective means to enhance the utilization rate of cyber source. In general, the process of network optimization can be divided into three stages using a large data analysis techniques: data sources and data acquisition, data storage. Cross layer design is an effective method to improve the performance of wireless sensor networks. In the three factors considered, such as the MAC layer scheming, physical power control, network layer routing, ultra wideband technology and the low signal power and realize the network maximum data transfer rate of the combined construction of wireless sensor network cross layer optimization model based on UWB technology.