节点文献

IEEE 802.16e休眠模式算法的研究和改进

Research and Improvement of Sleep Mode in IEEE 802.16e

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 刘利李津生洪佩琳

【Author】 LIU Li LI Jin-Sheng HONG Pei-Lin(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027)

【机构】 中国科学技术大学电子工程与信息科学系中国科学技术大学电子工程与信息科学系 合肥230027合肥230027

【摘要】 IEEE802.16e为移动站点提供了大范围的无线接入,为了减少移动站点的功率消耗,它提出了一种节能机制休眠模式.移动站点在休眠间隔后进入监听间隔,检查其间是否有数据分组到达.如果有,它将进入清醒状态接收数据,否则,继续进入休眠间隔.草案中所提出的休眠模式指数增长算法在低业务量情况下,响应时间过长.文中提出了线性增长算法解决这一问题,理论分析了该算法的两个性能指标平均响应时间和平均能量消耗.并结合仿真实验,对比了这两种算法的性能,证实了后者具有较好的性能.进一步分析了休眠模式各个参数对上述两个性能指标的影响,对参数值的选取有重要帮助.

【Abstract】 The IEEE 802.16e provides wide wireless access for mobile stations.It proposes an energy saving mechanism that named sleep mode for conserving the power of the mobile stations(MS).When the mobile station is in the sleep interval,the base station will buffer or drop the traffic send to this mobile station,and indicate the mobile station in the listening interval by broadcast message.When mobile station enters the listening interval,it checks if there is traffic indication message from base station.If so,mobile station will turn into awaken mode to receive traffic.Otherwise,it continue next sleep interval.When in low traffic scenario,the exponential increase algorithm of sleep mode brings on long response time.This paper presents linear increase algorithm to solve this problem.Average response time and average energy consumption are two performance measurements.After theoretical analyses and simulation experiments,the authors compare the two algorithms and conclude that the latter one has better performance.And then the authors analyze the above two performance measurements over each parameter of sleep mode and give the experimental results.The conclusion will be helpful to select the value of parameters.

【基金】 国家自然科学基金重大研究计划项目(90104011)资助.
  • 【文献出处】 计算机学报 ,Chinese Journal of Computers , 编辑部邮箱 ,2007年01期
  • 【分类号】TN925.93
  • 【被引频次】31
  • 【下载频次】269
节点文献中: 

本文链接的文献网络图示:

本文的引文网络