QIU Gong-an1, XU Chen1, ZHANG Guo-an1, et al. Path assessment based network admission control algorithm[J]. 2010, 31(10): 108-114.DOI:
基于路径估计的网络接纳控制研究
摘要
通过模糊化本地链路状态指标和陈旧路径状态指标实现状态指标的基本概率赋值
由Dempster合成规则融合数据推导网络路径不同态势及其置信度
取最大置信度态势作为准实时路径状态
并据此执行网络接纳判决。在接纳率相近的情况下
较基于预算的网络接纳控制
链路效率高2倍
并通过增加网络边缘节点预计算实现网络核心状态无关
减小了网络复杂度。
Abstract
The local link state metrics were measured by scheduler.At the same time
the stale path state metrics could be got from the router.The basic probability assignment functions of above metrics were described by the fuzzy state variableness.The path situation and the corresponding probability could be computed through data fusion based on Dempster rule.Then the path situation with the maximum probability would be regarded as the quasi-real-time path state.Network admission decision was made based on the estimated path state.Simulations show that the link utility of proposed policy has twice as the budget based network admission control under the similar blocking rate.And the complexity of network mechanism can be decreased by adding pre-computed at the edge to achieve coreless status in multi-hop networks.