基于分簇技术的水下声传感器网络的数据汇聚研究

Research on data aggregation of underwater acoustic sensor networks based on clustering technology

在水下声传感器网络的数据汇聚研究中,节点能量消耗过快,网络生命周期短的问题一直没有解决。基于分簇技术构建了网络非均匀分层模型,在该模型下,引入节点综合属性值作为选举簇头节点的依据,节点监测的数据通过建立传输路由表的方式汇聚到Sink节点。通过仿真实验,相比于未分簇状态,分簇状态下的网络生命周期提高了44.6%。结果表明,分簇状态下的数据汇聚的能量消耗更低,网络存活生命周期更长,为未来进一步在水下领域方面进行研究奠定了基础。

In the data aggregation research of underwater acoustic sensor networks,the node energy consumption is too fast,and the problem of short network life cycle has not been solved.In this paper,a network non-uniform hierarchical model is built based on clustering technology.Under this model,the integrated attribute value of the node is introduced as the basis for electing the cluster head node.The data monitored by the node is aggregated to the Sink node by establishing a transmission routing table.Through simulation experiments,the network life cycle in the clustered state is improved by 44.6%compared to the un-clustered state.The results show that the energy consumption of data aggregation in the clustering state is lower,and the network lifetime is longer,which lays a foundation for further research in the underwater field.