摘要
针对蜂窝小区用户移动特征、切换强度和业务流量不断变化可能造成分级管理结构失效的问题,提出基于切换强度和业务强度的区域发现及自适应优化算法.该算法通过实时测量蜂窝小区之间的切换强度或业务强度,发现两者相对集中的几个小区;通过区域自适应优化的算法,把这些小区聚合到同一管理区域下,从而使原来发生在不同管理区域的切换或者流量转化为同一管理区域内部的切换或者流量.在分级结构信令开销模型基础上,对算法进行了理论分析和仿真实验.结果表明,其能有效减少系统信令开销,提高切换速度和节点流量.
The hierarchical mobile IP (HMIP) is efficient for reducing signaling cost and handover latency. However, since user mobility characteristics and traffic load between different cells are always changing, the pre-planed hierarchical topology is likely to be invalid or even causes more signaling cost. A novel algorithm based on domain discovery and topology adaptive optimization was proposed, which can discover those cells with high handover frequency or heavy traffic load through real-time measurement and make these cells gather into the same administrative domain. In this way, the interdomain handover/traffic will change to intra-domain handover/traffic. The theoretic analysis and simulation results both show that the algorithm reduces the signaling costs and handover latency and increases the throughput of mobile nodes obviously.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2005年第5期55-58,共4页
Journal of Beijing University of Posts and Telecommunications
基金
美国IntelResearchCouncil(14765)
关键词
分级移动IP
切换
区域发现
拓扑自适应优化
hierarchical mobile IP
handover
domain discovery
topology adaptive optimization