期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
基于时隙选择概率分布的DCF区分服务机制 被引量:2
1
作者 徐颖 白光伟 +1 位作者 王明超 曹磊 《计算机工程》 CAS CSCD 北大核心 2010年第18期285-287,290,共4页
针对IEEE 802.11 DCF不能为实时业务提供服务质量保证的问题,提出一种简单的基于优先级的退避机制,根据不同等级数据业务的QoS需求提供区分服务。高优先级数据流采用减少数据包重传次数策略,低优先级数据流采用改进的RWBO+BEB退避机制,... 针对IEEE 802.11 DCF不能为实时业务提供服务质量保证的问题,提出一种简单的基于优先级的退避机制,根据不同等级数据业务的QoS需求提供区分服务。高优先级数据流采用减少数据包重传次数策略,低优先级数据流采用改进的RWBO+BEB退避机制,使得时隙选择概率分布均匀,能减少数据包碰撞概率。采用马尔科夫链模型对该机制进行数学分析与评价,结果表明,该机制不仅能够有效支持区分服务,并且能够提高系统饱和吞吐量。 展开更多
关键词 分布式协调功能 服务质量 时隙选择概率分布 马尔科夫链模型
下载PDF
RWBO(pd, w): A Novel Backoff Algorithm for IEEE 802.11 DCF
2
作者 YunLi Ke-PingLong Feng-RuiYang 《Journal of Computer Science & Technology》 SCIE EI CSCD 2005年第2期276-281,共6页
The Probability Distribution of. Slot Selection (PDoSS) of IEEE 802.11 DCF is extremely uneven, which makes the packet collision probability very high. In this paper, the authors explore how to make the stations selec... The Probability Distribution of. Slot Selection (PDoSS) of IEEE 802.11 DCF is extremely uneven, which makes the packet collision probability very high. In this paper, the authors explore how to make the stations select:the slots uniformly, and give an RWBO(P-d,w) algorithm for 802.11 DCF to make the PDoSS even and decrease the packet collision probability. A Markov model is given to analyze the PDoSS of RWBO(p(d), w). The performance of RWBO(p(d), w) is evaluated, by. simulation in terms of saturation throughput and packet collision probability. The simulation results indicate that RWBO(p(d), w) can decrease the packet contention,probability to a large extent, and utilize the channel more efficiently as compared to the 802.11 DCF. Moreover, the relation between saturation throughput, and walking probability (p(d)),the relation between saturation throughput and contention windows (w), the relation between packet collision probability and walking probability (p(d)), and the relation between packet collision probability and contention windows (w) are analyzed. The analysis indicates that RWBO(p(d), w) has some remarkable features: its saturation throughout keeps high and packet collision probability keeps very low (under 0.1) in a large range of p(d) and w, which allow users to configure p(d) and w more flexibly. 展开更多
关键词 IEEE 802.11 DCF pdoss random walking BackOff Markov chain model
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部