Congestion Control Based on Bayesian Network in Ad Hoc Networks
Peng Yu-ya · Jisuanji fangzhen · 2014
Aiming at the situation that it is easy for Ad Hoc Network to cause congestion for the overweight load with the bandwidth limitations and the characteristics of self-organization. This paper proposed a congestion control algorithm based on Constant Bit Rate( CBR) of Bayesian Network to adjust sending rate. Firstly,the algorithm carried out Bayesian Network learning from the parameters influencing on its state. Secondly,it utilized the achieved Bayesian Network to predict the congestion state and then adjust the sending rate to improve the network Quality of Service( QoS). Finally,NS2 software was employed to implement the algorithm simulation. The simulation results demonstrate that the algorithm can improve the network Quality of Service.