To address the problems of high energy consumption and low transmission efficiency of wireless sensor network (WSN)

a clustering routing algorithm based on swarm intelligence (SI) is explored to improve the energy efficiency and transmission efficiency of WSN.To this end

a chaotic particle swarm optimization (CPSO) approach is employed

and the characteristics of WSN are incorporated to design a novel clustering algorithm.First

nodes are grouped to form an optimal cluster structure to reduce communication overhead.Second

CPSO is used to select cluster head nodes responsible for data aggregation and transmission

and the energy consumption of nodes within the cluster is managed by the cluster head nodes.Finally

global and local rotation mechanisms are used to maintain node stability.Experimental results show that

compared with traditional algorithms

this algorithm extends the SI stable operation time by 30.10% and the network lifetime by 55.20%

significantly reducing energy consumption and improving data transmission efficiency.