Clustering method for efficiently utilizing energy in perception layer of environment monitoring internet of things

Abstract

The invention discloses a clustering method for efficiently utilizing energy in the perception layer of an environment monitoring internet of things, and is applicable to a hierarchical heterogeneous network structure. The clustering method comprises four stages as follows: 1) in region division stage, according to the best number of cluster heads, region in which wireless sensor nodes are randomly distributed is divided; 2) in the stage of selecting candidate cluster heads, the average distribution coordinate of the node in each divided region is calculated, then the coordinate is taken as the center of a circle to define a circular region, and the nodes in the circular region are taken as candidate nodes; 3) in the stage of determining the node of the cluster head, cluster node in each region is determined according to the residual energy of the candidate node; 4) in the stable data transmission stage, each cluster node transmits the data of own cluster to a base station. The invention has the advantages that by adopting the method, the distribution of the clusters is more uniform, and the energy consumption of the nodes is more even, so that the survival time of the network is effectively prolonged.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to a clustering method for efficient energy utilization of the perception layer of the Internet of Things for environmental monitoring. Background technique [0002] Efficient short-range radio frequency communication technology, miniaturized computing equipment and advanced sensor technology have enabled IoT technology to be widely used in military, environmental monitoring, medical health, smart home, transportation and other fields. The essence of the Internet of Things is mainly reflected in three aspects: first, comprehensive perception, using sensors to obtain information about objects anytime and anywhere; second, reliable transmission, through the network to transmit information about objects in real time and accurately; third, intelligent processing, using intelligent computing Technology analyzes and processes data and information. [0003] The ...

AI Technical Summary

Problems solved by technology

But there are also some problems: First, this algorithm does not consider the remaining energy of nodes, which leads to the rapid depletion of energy of some nodes, which shortens the survival time of the network

The second is that the distribution of nodes is not considered, so that the distribution of cluster heads is uneven, resulting in uneven energy consumption of the network

However, HEED is only suitable for homogeneous network environments. In heterogeneous networks, HEED may make low-energy nodes have a greater probability of becoming cluster heads than high-energy nodes, and it is difficult for nodes to fully utilize energy heterogeneity in a heterogeneous network environment.

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