Energy-Efficient Scalable Hierarchical Routing Method Based on Quantum Butterfly Algorithm

To solve the problem of balancing energy consumption in wireless sensor networks, an energy-efficient scalable hierarchical routing method (EESHRP) combining the advantages of butterfly optimization and quantum computation is proposed, which improves the performance of gateway configuration and data transmission chain construction. To optimize the gateway configuration, zone length is introduced, and the quantum butterfly algorithm with strong global optimization capability is designed to dynamically configure the cluster head centrally. To improve the efficiency of the data transmission, EESHRP constructs three kinds of data transmission chain. EESHRP can maximize the network lifetime while ensuring the quality of service and can serve large-scale static deployment networks.