Research on optimization algorithm design of 3D intelligent network based on ad hoc wireless sensor networks

Ad Hoc 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.