移动网络中基于最优停止理论的数据传输能耗优化策略

摘要

随着移动自组网、移动社会网等移动网络的广泛部署和数据服务的快速发展，如何在高效地利用移动网络资源的同时降低无线终端能耗已成为绿色移动计算中非常重要和迫切需要解决的课题。该文主要研究无线链路在给定的数据生成速率和传输延时要求下的数据传输平均能耗最小化问题。考虑到无线信道质量随时间变化的特征及分布式机会调度能提高网络设备的能量利用率和网络性能的特性，提出基于最优停止理论的数据传输能耗优化策略。该文首先构建具有传输数据量约束和数据传输平均能耗最小化的有限范围的最优停止问题，然后证明最优停止规则问题的存在并给出求解方法和过程，获得无线发送终端在周期性侦测信道时刻中的最优传输速率阈值。通过比较当前传输速率值与相应最优速率阈值以选择最优传输时刻，实现基于最优停止理论的数据传输能耗优化策略。在仿真实验中，将该文所提出的优化策略与相关文献的数据传输策略在平均能耗、平均传递成功率和平均调度周期各指标上进行对比，结果表明该文提出的策略具有较小的平均能耗和较高的平均传递成功率，取得较好的能耗优化效果。%With the wide deployment of mobile networks,such as mobile ad hoc networks, mobile social networks,etc.,and the rapid development of data services,how to utilize mobile networks resource efficiently and decrease energy consumption of wireless terminals has become a very important and urgent topic for constructing green mobile computing.This paper studies the average energy consumption minimization problem for data transmission under the given data generation rate and transmission delay demand in wireless links.Considering the time-varying characteristics of wireless channel quality,and network performance and energy utilization of network equipment can be improved by using distributed opportunistic scheduling,this paper proposes an energy consumption optimization strategy for data transmission based on optimal stopping theory.Firstly,to minimize the average energy consumption per bit data transmitted,a finite horizon optimal stopping problem with transmission data quantity constraint is constructed. And then we prove the existence of the optimal stopping rule and give the solving methods and processes.At last,we obtain the optimal transmission rate threshold of the sending terminal for each channel detection slot time.Thus forms the energy consumption optimization strategy for data transmission based on optimal stopping theory,which selects the optimal transmission time through comparing the current transmission rate with the corresponding optimal transmission rate threshold.In simulation,the average energy consumption,the average delivery success ratio and the average scheduling period of the optimization strategy proposed in this paper are compared with those of other data transmission strategies in related literatures.The results show that the strategy proposed by this paper has lower average energy consumption and higher average delivery success ratio than other strategies,and achieves better energy consumption optimization effect.