作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2009, Vol. 35 ›› Issue (9): 86-88. doi: 10.3969/j.issn.1000-3428.2009.09.030

• 网络与通信 • 上一篇    下一篇

MS休眠窗口叠加增长算法及其性能分析

唐朝伟,邵艳清,梁 腾,马文星,刘鹏军   

  1. (重庆大学通信工程学院,重庆 400044)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-05-05 发布日期:2009-05-05

Superposition Growth Algorithm of Sleep Window and Its Performance Analyses in Mobile Station

TANG Chao-wei, SHAO Yan-qing, LIANG Teng, MA Wen-xing, LIU Peng-jun   

  1. (College of Communication Engineering, Chongqing University, Chongqing 400044)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-05-05 Published:2009-05-05

摘要: 针对休眠窗口的大小会影响移动站点节能性能及接收数据帧平均响应时间的问题,提出一种叠加增长算法,从而达到较好的节能效果且具有较短的平均响应时间。该算法定义第K个休眠窗口长度是第K-1和K-2个休眠窗口长度之和,以减缓各休眠周期内休眠窗口增长的速度。仿真结果表明,该算法在平均能耗和平均响应时间方面均优于IEEE802.16e规定的指数增长算法。

关键词: 移动站点, 平均能耗, 平均响应时间, 叠加增长算法

Abstract: The sleep window of Mobile Station(MS) can affect energy saving performance and Average Response Time(ART) of receiving data frames. In order to get better energy saving effect and shorter average response time, this paper proposes a novel Superposition Growth Algorithm(SGA). The algorithm defines that the length of the kth sleep window is the sum of the length of the (k-1)th and the (k-2)th sleep window, which slows down the growth rate of the sleep window in every sleep period. Simulation results show that SGA is better than Exponential Growth Algorithm(EGA) prescribed by IEEE802.16e on Average Energy Consumption(AEC) and ART.

Key words: Mobile Station(MS), average energy consumption, Average Response Time(ART), Superposition Growth Algorithm(SGA)

中图分类号: