Predictive energy-efficient clustering routing method based on bee colony optimization algorithm model

Abstract

Provided is a predictive energy-efficient clustering routing method based on a bee colony optimization (BCO) algorithm model. A clustering routing method is one of the key technologies of WSN research, and is a critical part for ensuring WSN sensor reasonable distribution and efficient communication. The method of the invention solves the problem of unreasonable distribution of cluster heads in a previous method, and meanwhile optimizes data transmission among clusters. In the method, a cluster forming phase designs a clustering method from the perspective of how to select cluster head nodes, and based on node degrees, relative distances among nodes and dump energy, and a data stable transmission phase employs a BCO model, and designs a predictive cluster data transmission strategy, thereby effectively improving clustering quality and network whole performance, reducing and balancing the energy consumption of an entire network, and prolonging the life time of the network.

Description

【Technical Field】 [0001] The invention belongs to the technical field of combining computer applications with the Internet of Things. 【Background technique】 [0002] The WSN used in our lives is composed of wireless sensor nodes and is a private network. These sensor nodes are characterized by relatively low price, relatively low power consumption, and relatively small size. Without infrastructure and human support, through self-organizing wireless communication, they can process and integrate the information they perceive in the monitoring area and then send it to the monitor to complete the corresponding task. An important research topic of WSN is the design of routing algorithms. The WSN routing algorithm is responsible for the effective and reliable transmission of data between the sink node and ordinary nodes. Unlike traditional networks, the architecture of WSN is related to specific application scenarios, and the design of communication protocols should also be targeted....

AI Technical Summary

Problems solved by technology

[0012] The predictive energy-efficient clustering routing method based on the bee colony optimization algorithm model proposed by the present invention aims to solve the problem of unreasonable distribution of cluster heads in the traditional clustering routing algorithm, and optimize the data transmission between clusters at the same time, so that the whole network can be improved. The clustering quality of the network reduces and balances the energy consumption of the whole network and prolongs the survival time of the network

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