摘要
由于智能配网通信业务的复杂多样性,要求其通信网提供比传统服务质量(QoS)机制更具有针对性的灵活高效的QoS机制保证。为此,分析智能配网的业务特征,提出在主动队列管理中加权随机早检测(WRED)的改进算法WRED_gentle,通过在OPNET上建立集抄应用和配电自动化应用的业务模型,对NoWRED、WRED和WRED_gentle 3种算法进行仿真实验。结果证明WRED_gentle算法能够明显改善网络时延、吞吐量和链路利用率等性能,保证智能配电通信网的QoS要求。
In consideration of the complexity and diversity of the smart distribution business, a Quality of Service（QoS） mechanism that is more flexible and efficient than that of tradition is needed. The smart distribution service characteristic is analyzed. WRED_gentle algorithm, an improved Weighted Randomly Early Detection（WRED） algorithm, is proposed in active queue management. By the modeling of meter reading application and the power distribution automation application, noWRED, WRED, and WRED gentle algorithm are simulated on OPNET. Results indicate that the performance of network delay, throughput and link rate is obviously improved after adopting the WRED_gentle, which guarantees the QoS requirements of the smart distribution communication network.
出处
《计算机工程》
CAS
CSCD
2012年第21期110-113,共4页
Computer Engineering
基金
国家自然科学基金资助项目(61162004)
云南大学校基金资助项目(2011YB19)
云南大学研究生基金资助项目(ynuy201147)
关键词
加权随机早检测
智能配网通信
服务质量
拥塞控制
主动队列管理
Weighted Randomly Early Detection（WRED）
smart distribution network communication
Quality of Service（QoS）
congestioncontrol
active queue management
