基于模糊控制的Hurst调节自适应MANET移动模型

Adaptive MANET mobility model based on fuzzy control with Hurst adjustment

首先利用仿真工具产生了无线自组织网络中多种场景下的业务量,随后对业务量进行定性分析并验证了其内在的自相似性。接着根据自相似Hurst参数与投递率、分组传输平均时延之间的关系建立了模糊控制模型,并给出了基于反馈的自适应模糊规则调整方法。仿真数据显示,AMMWHA(adaptive MANET mobile model with Hurst adjustment)模型与其他几种典型移动模型相比,由于采用了业务量自适应的移动控制机制,在投递率、分组传输平均时延和丢包率上都有较大改进。

Based on the generated traffics under several scenarios using OPNET, the inner self-similarity property was verified by qualitative analysis to the ad hoc networks traffics.According to the relationships between Hurst and delivery ratio and packets average transmission delay, the fuzzy control model was built and the adaptive adjustment method based on feedback was given.Simulation results shows, compared with some typical mobility model, AMMWHA(adaptive MANET mobile model with Hurst adjustment) model has better performance on delivery ratio, packet average transmission delay and drop ratio due to introduce traffics adaptive control mechanism.