Modeling method of heterogeneous wireless network transmission energy-saving prediction model

Abstract

The present invention discloses a modeling method of a heterogeneous wireless network transmission energy-saving prediction model. The method comprises the following steps that: S1, distances between nodes are calculated; S2, a cluster head is selected, Popt is set to be an optimal cluster head ratio, and an energy factor that affects a cluster head possibility is calculated; S3, average energy consumption required by the cluster head node in the S2 for communicating with other nodes for once is calculated; S4, random nodes are distributed as Poisson points, whether distances from the random nodes to the cluster head are greater than d0 is judged, the average energy consumption of one-time data transmission of clustering is calculated, so that a communication cost factor that affects a cluster head selection probability is obtained; S5, the threshold value of an improved LEACH (Low-Energy Adaptive Clustering Hierarchy) is obtained according to the energy factor, the communication cost factor and the probability Pi of a node i becoming a cluster head; S6, energy consumption prediction is performed, and energy consumption and remaining energy in an r-1 round are calculated according to the node distances and energy consumption; and S7, an energy consumption prediction value is obtained through the energy consumption and remaining energy. With the modeling method of the invention adopted, the probability of a node of the remaining energy becoming a cluster head can be improved, energy consumption during broadcasting in a clustering stage can be decreased, and network survival time is prolonged.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a modeling method for a heterogeneous wireless network transmission energy saving prediction model. Background technique [0002] The wireless sensor network is composed of dozens to hundreds of nodes, and adopts a multi-hop mobile peer-to-peer network in the form of wireless communication. All fields of social production activities are widely used in environmental monitoring, industrial control, smart home, etc. [0003] In recent years, wireless sensor networks have developed greatly, but power consumption is still an important factor restricting the development of wireless transmission networks. Therefore, reducing energy consumption in the network, improving network load, and prolonging network survival time have become a measure of wireless sensor networks. The main parameter of network performance. LEACH (Low Power Adaptive Clustering Hierarchical Protoco...

AI Technical Summary

Problems solved by technology

LEACH (Low Power Adaptive Clustering Hierarchical Protocol) is currently the most popular distributed clustering routing protocol. The LEACH protocol utilizes the structural characteristics of the cluster and uses algorithms such as cluster head net weight to share the energy consumption of communication with the sink node. To each node, in order to extend the lifetime of the entire system, and through the data processing technology of the cluster head, reduce the amount of data sent to the sink node, and achieve the purpose of reducing energy consumption. However, the LEACH protocol does not consider optimizing the cluster head. The number of nodes, and the balanced energy consumption of each node, so how to optimize the number of cluster heads to achieve balanced energy consumption of nodes has become a hot spot for exploring energy-efficient networks

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