一种基于云模型优化的WSN路由算法

The WSN Routing Algorithm Based on Cloud Model Optimization

为了提高WSN网络的稳定性和网络寿命,提出了一种多指标选择簇头的方法,充分考虑了节点能量有效性、节点的数据包转发成功率、节点的数据包重传率等因素,来选择WSN网络的簇头节点,并通过云模型对这些因素进行定性和定量表示,实现簇头节点定性选择.仿真实验表明基于云模型优化的WSN路由算法比FTCA算法的丢包率明显降低,网络寿命明显延长,达到了增强网络稳定性,延长网络寿命的效果.

In order to improve the stability and lifetime of network WSN network,we propose a method to select cluster head with multi indicators,which depends on many factors,such as efficiency of the nodes,success rate of packet forwarding,retransmission rate of packet. Finally,the simulation results show that this method has low-er packet loss rate than FTCA algorithm,which can enhance the network stability and prolong network lifetime.