中文摘要：

智能手机数据传输中的频发性和微量性特征增加了尾能耗的出现次数与占比,降低了传输能耗利用率。为了降低智能手机在LTE网络中的尾能耗,构建基于RRC状态机的LTE传输能耗模型,提出一种基于数据聚合的数据传输节能机制（A-ESTD）。该机制通过对数据传输类型的划分和蜂窝端口RRC状态机的判断,对数据传输做出即时发送或延迟发送的不同策略。同时,综合考虑即时型、心跳型数据出现周期和等待队列中最早deadline时间等因素,在数据传输判断机制上加入概率预测进行机会成本的权衡。仿真实验结果表明：该机制的节能效果优于普通传输机制,节能效率维持在27%左右,实现了节能效率的稳定。

英文摘要：

The frequency and micro scale characteristics of data transmission in smart phones increase the frequency of occurrence and proportion of tail energy,which decreases the utilization rate of transmission energy. In order to reduce the tail energy of smart phones in LET network,a transfer energy consumption model based on the RRC state machine in LTE network is built,and a data aggregation-based energy saving data transmission mechanism（ A-ESTD） is proposed. This mechanism takes data transmission types and cellular port recent RRC state into account to decide whether transmits the data instantly or later. Meanwhile,taking the periodicity of instant and heartbeat-type data and the earliest deadline in the waiting queue together into consideration,it adds the probability prediction into the original data transmission judgment to weigh the opportunity cost. The simulationresults show that the mechanism enhances the energy efficiency compared to the normal mechanism,and can achieve stable energy saving efficiency that maintains at about 27%.