Wireless sensor network clustering method based on particle swarm optimization

Abstract

The invention relates to a wireless sensor network clustering method based on particle swarm optimization and belongs to the field of topology control of wireless sensor networks. The wireless sensor network clustering method is characterized in that the number of optimal clusters is dynamically decided according to the current state of a farmland environment monitoring network, factors affecting energy consumption are taken into full consideration, a fitness function is constructed, and optimal cluster heads are selected by using a particle swarm optimization algorithm, so that the cluster heads are uniformly distributed in a network, and the load of the network is equalized; during clustering, the factors affecting the energy consumption are taken into full consideration, and the optimization is carried out by using the particle swarm optimization algorithm, so that the utilization ratio of energy is increased, and the life cycle of the farmland environment monitoring network is prolonged; and the residual energy of nodes is taken into consideration during cluster head selection, so that cluster head nodes have enough energy to execute tasks, such as collection and aggregation, and the security of data is guaranteed.

Description

technical field [0001] The invention belongs to the field of wireless sensor network topology control, in particular to a particle swarm optimization-based wireless sensor network clustering method. The method designed in this patent achieves the purpose of reducing energy consumption of sensor networks with limited resources, prolonging network survival time and improving system scalability by optimizing clustering. Background technique [0002] As a common device for sensing and collecting data, wireless sensors have attracted more and more attention. They are widely used in military, industrial control, environmental detection and other fields, especially in the field of farmland environmental detection. Wireless sensor nodes are usually small in size and powered by batteries with limited energy. It is necessary to prolong the survival time of wireless sensors as much as possible and collect more farmland environmental detection data. The topology control of wireless sen...

AI Technical Summary

Problems solved by technology

This method uses particle swarm optimization to perform clustering, which solves the problems of uneven distribution of cluster heads and unbalanced energy consumption in wireless sensor networks, resulting in short network survival time, so as to effectively use energy and improve network scalability and stability. performance, prolonging the life cycle of the network

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