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移动网络中基于数据到达速率的数据传输能耗优化策略
引用本文:彭颖,王高才,王淖.移动网络中基于数据到达速率的数据传输能耗优化策略[J].计算机科学,2017,44(1):117-122.
作者姓名:彭颖  王高才  王淖
作者单位:广西大学电气工程学院 南宁530004,广西大学计算机与电子信息学院 南宁530004,广西大学计算机与电子信息学院 南宁530004
基金项目:本文受国家自然科学基金(61562006,61262003),广西自然科学基金项目 (2016GXNSFBA380181,2015GXNSFBA139249,2013GXNSFGA019006)资助
摘    要:数据传输能耗是移动网络能耗的重要部分,提高数据传输能耗效率是优化移动网络能耗的重要课题。考虑数据具有传输延时的要求,研究了基于数据到达速率的数据传输平均能耗最小化问题。利用无线信道质量随机变化的特征,构建基于数据到达速率的平均能耗最小化问题,然后将其转化为最优停止问题,证明最优停止规则存在。最后通过求解最优近视停止规则来获得各侦测时刻的最优传输速率阈值,实现基于数据到达速率的数据传输能耗优化策略。对提出的策略与其他策略就平均能耗、平均传递率和平均调度周期进行了仿真对比,结果表明提出的策略具有较小的平均能耗和较高的平均传递率,取得了较好的能耗优化效果。

关 键 词:移动网络  到达速率  数据传输  能耗优化  最优停止  最优速率
收稿时间:2015/12/27 0:00:00
修稿时间:2016/4/6 0:00:00

Energy Consumption Optimization Strategy for Data Transmission Based on Data Arrival Rate in Mobile Networks
PENG Ying,WANG Gao-cai and WANG Nao.Energy Consumption Optimization Strategy for Data Transmission Based on Data Arrival Rate in Mobile Networks[J].Computer Science,2017,44(1):117-122.
Authors:PENG Ying  WANG Gao-cai and WANG Nao
Affiliation:College of Electrical Engineering,Guangxi University,Nanning 530004,China,School of Computer and Electronic Information,Guangxi University,Nanning 530004,China and School of Computer and Electronic Information,Guangxi University,Nanning 530004,China
Abstract:Energy consumption of data transmission is a significant part of energy consumption in mobile networks.Ener-gy efficient transmission is an important topic to optimize energy consumption in mobile networks.The average energy consumption minimization problem based on data arrival rate was studied,when data has delay demand.The minimization problem was constructed using time-varying characteristics of wireless channel quality and it was turned into an optimal stopping problem.The existence of optimal stopping rule was proved.Finally,the optimal myopic stopping rule was solved to obtain optimal transmission rate threshold at each detection time.Thus the energy consumption optimization strategy for data transmission based on data arrival rate was realized.Simulations compared this strategy with othersin the index of average energy consumption,average delivery ratio and average scheduling period.The results show that our strategy has less average energy consumption and higher average delivery ratio,gaining better optimization effect.
Keywords:Mobile networks  Arrival rate  Data transmission  Energy consumption optimization  Optimal stopping  Optimal rate
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