中文摘要：

针对一些ARAS（adaptive response by attractor selection）模型的噪声影响不明确和活跃度不能准确确定状态转换时机的缺点,提出了一个改进的ARAS模型。此模型利用被重新推导的吸引子明确了噪声对模型的随机影响。通过提出一个与当前路径状态和最好路径状态的差成反比的活跃度公式,经Matlab验证,改进模型可提高负载平衡的准确度。在一个基于AODV的多路径路由中,通过使用ARAS改进模型选择路由路径,提出一种基于细胞适应机制的多路径路由协议（MPAM）,并在OPNET中验证了方法的有效性。

英文摘要：

In view of existing ARAS （adaptive response by attractor selection） models＇ shortcomings that was noise item produces an effect ambiguously and activity couldn＇t determine the opportunity of state changing correctly, an improved ARAS model was proposed. The model specifies the stochastic effect of the noise on the system by an attractor with a noise item. Through putting forward an activity formula inversely proportional to the partial difference between current path status and best path status, it was validated by Matlab with the improved model could increase the accuracy of load balancing in a simple case. A multi-path routing by ARAS mechanism （MPAM） based on AODV is proposed, which se- lects routing path with the improved ARAS model. Furthermore, the improved model is validated to be able to reduce the average network delay by OPNET.