基于Ad Hoc无线传感网络的三维智能组网优化算法设计研究

Research on Optimization Algorithm Design of 3D Intelligent Network Based on Ad Hoc Wireless Sensor Networks

Ad Hoc无线传感网络(WSN)是一种无中心、自组织的无线网络。这种动态网络需要通过合适的组网算法生成拓扑结构以提高其稳定性。在多频率分级Ad Hoc网络结构中,簇头负责簇内成员节点之间的通信及簇头之间的通信,因此,如何选择出最合理的节点担任簇头成为分簇算法的关键问题。在现有的组网算法基础上,提出了一种基于三维预测模型的新型分簇组网算法,基于Matlab软件进行了仿真,构建三维网络拓扑结构,通过分簇算法生成分级网络,并对生成网络的簇头数及分簇平衡度进行分析。仿真结果验证了新型分簇组网算法的可行性,通过算法生成的分簇结构稳定。

Ad Hoe wireless sensor network （WSN） is a kind of acentric and self-organizing wireless network.In order to improve the stability of dynamic network,the topological structure needs to be generated by proper networking algorithm.In the multi-frequency classified ad hoc network structure,a cluster head is responsible for the communication among cluster members as well as the communication between cluster heads.Therefore,how to choose the most rational node to be the cluster head becomes the key point.Based on existing researches on networking algorithm,a new clustering networking algorithm based on 3D prediction model is proposed,and a 3D networking topological structure is established based on the Matlab software.A hierarchical network is generated by clustering algorithm,and the numbers of cluster heads that generate a network and the degree of clustering balance are analyzed.The simulation results show that the proposed clustering networking algorithm is feasible and the clustering structure is stable.