首页> 外文期刊>Mobile Computing, IEEE Transactions on >Low-Complexity Class-Based Scheduling Algorithm for Scheduled Automatic Power-Save Delivery for Wireless LANs
【24h】

Low-Complexity Class-Based Scheduling Algorithm for Scheduled Automatic Power-Save Delivery for Wireless LANs

机译:低复杂度的基于类别的调度算法,用于无线局域网的计划自动节电交付

获取原文
获取原文并翻译 | 示例

摘要

Power saving is an important issue when integrating the wireless LAN technology into mobile devices. Besides Quality of Service (QoS) guarantee, the IEEE 802.11e introduces an architecture called Scheduled Automatic Power-Save Delivery (S-APSD) aiming at delivering buffered frames to power save stations. In S-APSD, the Access Point (AP) schedules the Service Period (SP) of stations. To increase power efficiency, SPs should be scheduled to minimize the chance of overlapping. In a recent paper, an algorithm named Overlapping Aware S-APSD (OAS-APSD) was proposed to find the wake-up time schedule for a new Traffic Stream (TS) to minimize the chance of SP overlapping. The combination of OAS-APSD and HCF Controlled Channel Access (HCCA) was proved to outperform 802.11 Power Save Mode (PSM) with Enhanced Distributed Channel Access (EDCA) in power saving efficiency and QoS support. However, the OAS-APSD algorithm requires high online computational complexity which could make it infeasible for real systems. Without harming the optimality, this paper presents an efficient algorithm with much less complexity by exploiting the periodicity of service schedule. Because of largely reduced online computational complexity, the proposed algorithm is much more feasible than OAS-APSD.
机译:在将无线局域网技术集成到移动设备中时,节电是一个重要的问题。除了服务质量(QoS)保证之外,IEEE 802.11e还引入了一种称为计划自动节电传送(S-APSD)的体系结构,旨在将缓冲的帧传送到节电站。在S-APSD中,接入点(AP)计划站点的服务时间(SP)。为了提高电源效率,应该安排SP以最大程度地减少重叠的机会。在最近的一篇论文中,提出了一种名为重叠感知S-APSD(OAS-APSD)的算法,以找到新流量(TS)的唤醒时间表,以最大程度地减少SP重叠的机会。事实证明,OAS-APSD和HCF控制的信道访问(HCCA)的结合在省电效率和QoS支持方面优于具有增强型分布式信道访问(EDCA)的802.11省电模式(PSM)。但是,OAS-APSD算法要求很高的在线计算复杂度,这可能使其在实际系统中不可行。在不损害最优性的前提下,本文通过利用服务调度的周期性提出了一种有效的算法,其复杂度大大降低。由于大大降低了在线计算复杂度,因此该算法比OAS-APSD更为可行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号