| Intelligent mobile terminals use cellular networks for data interaction in order to access information quickly.However,the existence of tail energy in cellular network significantly reduces the energy efficiency of data transmission.Tail energy refers to the amount of energy wasted during the time stay in a high energy state additionaly after a data transmission is completed.Nowadays,the applications on mobile terminal have become increasingly rich.The interactions between mobile terminal and Internet is more frequently,causing the tail energy is more and more big.Besides,the duration of life of mobile terminal is not enough and this will affect user experience.Therefore,it is of great significance to study and optimize the tail energy consumption of mobile intelligent terminal data transmission.Based on LTE cellular network environment,two different algorithms of data transmission scheduling are proposed to improve the efficiency of mobile terminal data transmission.The main research works in this paper are as follows:(1)Based on the analysis of data transmission energy consumption and the data transmission optimization strategy of tail energy aggregation optimization strategy,this paper established the channel quality detection function model and proposed a data transmission schedules algorithm based on channel quality detection(CQD-DTSA).The algorithm of CQD-DTSA solved the problem of existing technology based on tail aggregate don't consider the channel quatity of data aggregation send time and improved the energy efficiency of data transmission.The innovation of CQD-DTSA lies in establishing the model of channel quality detection and making full use of the theory of optimal stopping algorithm,realizing the periodic detection of the channel quality.The data of delay and the data of the heartbeat will schedule in the optimal channel quality time in this algorithm.On the basis of reducing the number of energy consumption of the tail,this algorithm further reduces the transmission energy consumption of the data transmission request,thus effectively reduces the energy consumption of the unit data transmission.The simulation results show that the data transmission scheduling mechanism has a better efficiency of energy saving and energy efficiency in different application scenarios,which maintains about 30%-60%.(2)Based on the analysis of data prefetching technique and the data transmission optimization strategy of tail energy use optimization strategy,this paper set up the data prefetch model between quick scan mode and normal browsing mode and proposed a data transmission schedules algorithm based on data prefetching(DP-DTSA).The algorithm of DP-DTSA realized the dynamic adjustment of data prefetching mode in different browsing modes and improved the data prefetching completion rate.Therefore,this algorithm reduced the effect of tail energy consumption on the energy efficiency of mobile terminal data transmission.The innovation of the DP-DTSA lies in establishing the data prefetch model between quick scan mode and normal browsing mode and comprehensivly considering the current user read browse mode,prefetching time available,the size of the data transmission rate and to prefetch data packets.Therefore,this algorithm can dynamically adjust the prefetch mode.The success rate of data prefetching is improved,and the energy consumption of unit data is reducing effectively by using this algorithm.The experimental result shows that the transmission mechanism has better energy saving effect than the existing data prefetching technology.The simulation results show that the energy saving efficiency of the data prefetch transmission mechanism is good and it can reach 34%to 48%in different modes.In this paper,the two algorithms under different scenarios of energy saving efficiency is superior to the same condition of the existing energy consumption optimization strategy.This has certain reference value for research of mobile terminal energy saving technology. |
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