关于人工智能的修期定标墙
On the repair time scaling wall for MANETs
摘要：
传统上，实际的MANET部署无法扩展到超过约100个节点，这被归咎于支持路由相关控制业务的网络容量不足。然而，本文指出，网络容量是显着利用不足的标准MANET路由算法在观察到的缩放限制。因此，与从容量的角度确定MANET路由的缩放限制相反，它的特征在于路径故障（由于移动性引起的）和路径修复的动态之间的相互作用的函数。这导致发现的修复时间缩放墙，这是用来解释观察到的缩放限制在MANDENT。修复时间缩放墙背后的因素进行了识别和技术，以扩大缩放限制进行了说明。
英文摘要：
The inability of practical MANET deployments to scale beyond about 100 nodes has traditionally been blamed on insufficient network capacity for supporting routing related control traffic. However, this paper points out that network capacity is significantly under-utilized by standard MANET routing algorithms at observed scaling limits. Therefore, as opposed to identifying the scaling limit for MANET routing from a capacity stand-point, it is instead characterized as a function of the interaction between dynamics of path failure (caused due to mobility) and path repair. This leads to the discovery of the repair time scaling wall, which is used to explain observed scaling limits in MANETs. The factors behind the repair time scaling wall are identified and techniques to extend the scaling limits are described.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
