Heterogeneous network access selection method and system based on Internet of Things (IoT)

Abstract

The invention relates to a heterogeneous network access selection method and system based on the Internet of Things (IoT). The method comprises the following steps: according to affecting factors foraccess network selection, determining subjective weights of a plurality of candidate networks through the AHP method; according to parameters of the candidate networks, determining objective weights of the candidate networks through the TOPSIS method; calculating comprehensive weights according to the subjective weights and the objective weights of the candidate networks; and selecting the candidate network to be accessed according to the comprehensive weights. The method and system provided by the invention has the following beneficial effects: 1, compared with a method and system simply adopting a subjective selection algorithm or an objective selection algorithm, the method and system achieves selection of a more reasonable network for access; 2, compared with a heterogeneous network selection algorithm combining other various algorithms, the algorithm provided by the invention achieves a smaller computation amount during a network access selection process; and 3, as the more reasonable network can be selected, the algorithm can achieve lower network expenses, a smaller network load and the like when applied in a heterogeneous network selection process.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to a heterogeneous network access selection method and system based on the Internet of Things. Background technique [0002] In recent years, with the development of the Internet of Things industry, various new Internet of Things technologies have emerged continuously. The continuous optimization and innovation of technologies have driven the rapid development of the industry. With the emergence of low-density wide area network technology, the Internet of Things has been more widely used. After the emergence of low-power wide-area networks, the pace of development of Internet of Things technology has gradually accelerated. In the early stage of low-density wide area network development, IoT devices can only connect to the network through one protocol, and cannot support multiple network connection methods. However, with continuous innovation in technology, Qua...

AI Technical Summary

Problems solved by technology

Objective selection algorithms mainly include techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) and gray relational analysis methods. Subjective and objective network selection algorithms combine subjective and objective algorithms in the selection process of heterogeneous networks. Network selection, but the network selection with subjective network selection algorithm or objective network selection algorithm alone often cannot select the optimal network, and the current network selection algorithm that combines subjective and objective network selection often has a complicated selection process and a large amount of calculation. Large, so that there will be a large network delay in practice, and the network is not easy to switch and other problems

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