基于深度信任网络的移动传感网高效分簇路由机制

Efficient Clustering Routing Mechanism Based on Deep Belief Networks Towards Mobile Sensor Network

高效路由机制的设计可提高移动传感网的运行效率。提出了基于深度信任网络的移动传感网高效分簇路由机制。设计了传感器节点联系信息特征提取方法,从复杂的节点联系信息中挖掘核心特征,并依据挖掘的特征进行移动传感器节点的分簇。进而,综合考虑感知节点联系紧密度与能量状态,设计了高效的分簇路由机制,动态选取簇头节点进行簇内与簇间消息的路由。仿真验证表明,所提方法可分别提高平均投递率、平均投递时延、网络寿命性能14%、24%、23%以上。

Designing an efficient message routing mechanism can improve the operational efficiency of the mobile sensor network(MSN).An efficient clustering routing mechanism based on deep belief networks towards MSN is proposed.A feature extraction method on sensor node contact information is designed to extract its main features from the complex node encounter information.Then a sensor node clustering method,based on the extracted main features,is presented.Furthermore,a clustering message routing mechanism is designed,which comprehensively consider the node contact tightness and energy state to dynamically select cluster head nodes for message routing within and outside the cluster.Simulation results show that the proposed method can improve the average delivery rate,average delivery delay,and network lifetime performances by more than 14%,24%,and 23%,respectively.