提高移动站点综合节能性能的新算法及性能分析  

Novel algorithm for improving comprehensive energy-saving performance of mobile station and its performance analysis

作　　者：唐朝伟[1] 邵艳清[1] 陈宏旦[1] 刘鹏军[1] 郭春旺[1] 

机构地区：[1]重庆大学通信工程学院,重庆400044

出　　处：《计算机应用》2009年第9期2420-2423,共4页journal of Computer Applications

基　　金：国家发改委CNGI2005示范工程项目(CNGI-04-4-2D);重庆市自然科学基金资助项目(2006BB2163)

摘　　要：为减少移动站点(MS)的平均能耗(AEC)和其接收数据帧的平均等待时间(AWT),在分析IEEE802.16e规定的节能算法的基础上提出了一种休眠窗口的混合增长算法。该算法通过改变休眠窗口的增长速度,提高了移动站点节能综合性能。通过与IEEE802.16e规定的节能算法的对比分析和实验仿真验证了该算法的良好性能,并进一步考查了休眠模式中参数对算法性能的影响,有助于参数值的选取。结果表明:混合增长算法可以在获得更好节能特性的同时大大减少平均等待时间,尤其在到达率较低时,混合增长算法的平均能耗比指数增长算法降低15%～20%,平均等待时间减少50%～70%。Based on the analysis of exponential growth algorithm prescribed in IEEE 820. 16e, a novel Hybrid Growth Algorithm （HGA） of sleep window was proposed to reduce the Average Energy Consumption （AEC） and the Average Waiting Time （AWT） of receiving the data frames of the Mobile Station （MS）. The proposed algorithm promoted the comprehensive energy saving performances of MS by changing the growth rate of sleep window. The good performances of the proposed algorithm was validated via comparative analysis and experimental simulation, then the effects of the parameters in sleep mode on the algorithm were studied, which was helpful to the choice of the parameters value. The experimental results indicate that by means of HGA, the average waiting time is greatly reduced while a better energy saving character is obtained. Especially when the arrival rate is small, compared with exponential-growth algorithm, the average energy consumption of HGA is reduced by 15% to 20%, with the average waiting time by 50% to 70%.

关 键 词：IEEE802.16E 休眠模式 平均能耗 平均等待时间 混合增长算法 

分 类 号：TN911.22[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程]