摘要
在网络负载过高的情况下,通过合理选择目标,可以保证网络通信数据可以均衡利用信道,降低网络负载,可在负载率较高的网络中,合理选择信道较为困难,因为信道选择的约束条件是动态变化的,传统的寻优算法很难对动态变化的约束条件计算最优解,导致均衡网络负载的均衡性差。提出改进吉布斯信道选择算法的网络均衡负载方法。利用吉布斯采样算法构造了能量函数,计算出各个网络信道的选择概率,选择网络最优信道,在引入能量检测方法对吉布斯采样算法进行改进,得到信道频谱感知,给定认同的信道最大吞吐量,迭代搜索最优的网络信道,获取最优网络信道目标值,完成网络最优信道选择下的均衡负载。仿真结果表明,改进的吉布斯采样算法可以有效的提升网络的均衡负载性能强。
Balanced channel utilization of network can ensure reducing the load of network under the condition of excessive network load. However, it is difficult to select channel properly in the overloaded network. Because the constraint condition of selecting channel is dynamic, it is difficult for the traditional optimization algorithm to calculate the optimal result, which makes a poor balance of the network load. In the paper, a load balancing method was proposed based on the modified Gibbs channel selection algorithm. The energy function was constructed to calculate selection probabilities of network channel and choose the optimal channel. The Gibbs sampler was modified to obtain the spectrum sensing of channel. Given maximum throughput of identified channel, the optimal network channel was searched itcrative- ly to obtain target value and the optimal channel, achieving the load balancing selected. The simulation results show that the modified Gibbs sampler method can improve the property of network load balancing apparently.
出处
《计算机仿真》
CSCD
北大核心
2016年第4期324-327,共4页
Computer Simulation
基金
郑州大学西亚斯国际学院校级项目(2015KYYB10)
关键词
最优信道选择
感知信道
能量函数
Optimal channel selection
Sensing channel
Energy function
