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针对移动终端在蜂窝网络中的能耗过高问题,提出了一种基于时间序列的能量优化算法——平衡优化算法(BOA).该算法对移动终端在蜂窝网络中传输的数据块建立自回归滑动平均模型,通过预测下一个数据块的到达时间来动态调整尾巴时间,达到降低能耗的目的.实验结果及分析表明,BOA能达到93.86%的模型匹配率;相比于原标准下的Fixed-tail算法,能达到42.25%的能量优化效果,且用户使用移动终端时间越长,能量优化效果越好.
In order to solve the problem of excessive energy consumption of mobile terminals in cellular networks, a time-based energy optimization algorithm (BOA) is proposed, which is based on the self-regularization of data blocks transmitted by mobile terminals in cellular networks Sliding averaging model to dynamically adjust the tail time by predicting the arrival time of the next data block to achieve the purpose of reducing energy consumption.Experimental results and analysis show that the BOA can achieve 93.86% of the model matching rate; compared to the original standard Fixed -tail algorithm, which can achieve an energy optimization effect of 42.25%, and the longer the user uses the mobile terminal, the better the energy optimization effect is.