海量网络数据传输能耗优化方法

摘要

针对传统方法对海量网络数据传输能耗进行优化时存在传输能耗估计不准确、不适合大范围使用的缺陷，提出一种新的海量网络数据传输能耗控制优化方法。通过建立网络数据传输模型，对网络数据节点能耗进行计算。选取合适节点对网络数据进行参数设计，利用分段曲线压缩算法对采集的数据进行压缩传输，结合剩余能量实现海量网络数据传输能耗的优化。结果表明，在不同数据传输距离和数据量条件下，与传统方法相比采用改进算法可以很大程度降低海量数据的传输能耗，改进算法具有的能耗优化效果具有一定的实用性。%In order to solve the problem that when the energy consumption during data transmission of massive network is optimized with the traditional method,the estimation of transmission energy consumption is not accurate and the traditional method is not suitable for a wide range of use,a new optimization method for the energy consumption control during data transmission of massive network was proposed.Through establishing the transmission model for network data,the energy consumption of network data nodes was calculated.In addition,the appropriate nodes were selected to perform the parameter design for the network data,the compressive transmission for the acquired data was carried out with the piecewise curve compression algorithm,and the optimization of energy consumption during data transmission of massive network was realized in combination with the remaining energy.The results show that under the condition of different data transmission distances and different data amounts,compared with the traditional methods,the improved algorithm can greatly reduce the energy consumption during the data transmission of massive network.Furthermore,the improved method has better optimization effect for the energy consumption,and has a certain practicality.