关键词: 蜂窝网络, 能量优化, 尾巴时间, 自回归滑动平均模型

Abstract:

Aiming at the high energy consumption of mobile terminal under cellular networks, a new energy optimization algorithm balance optimization algorithm (BOA) based on time series is proposed to improve the energy efficiency of smartphones. The proposed algorithm builds the auto-regressive and moving average model for the data blocks in the cellular network, and dynamically adjusts the tail time to achieve the purpose of reducing the energy consumption by predicting the arrival time of the next block. Experiments show that BOA can achieve the average model matching rate up to 93.86%. Compared to traditional fixed-tail algorithm, the BOA enables reduce energy consumption by 42.25%,and analysis shows that the longer smartphones are used, the higher energy efficiency can be achieved.

Key words: cellular network, energy optimization, tail time, auto-regressive and moving average model