Aiming at the problem that the cluster head node is overloaded

the energy consumption of nearby nodes is unbalanced and the system robustness is poor in heterogeneous wireless sensor networks（ WSNs）

a clustering routing algorithm based on dual cluster heads for heterogeneous WSNs is proposed. Firstly

the algorithm uses quantum optimization algorithm and particle swarm optimization（ PSO） algorithm to construct a network model for dual cluster heads to solve the problem of node energy consumption. Then

optimize the primary and secondary cluster head fitness functions

so that the cluster head distribution is resonable and can improve the system robustness. Establish the weight of the cluster head and the base station side to construct a directed connectivity graph

use the minimum spanning tree for inter-cluster communication

reduce node energy consumption. The simulation results show that the algorithm effectively reduces the network energy consumption

improves the system robustness

and prolongs the network life cycle.