Distributed trust transmission energy consumption intelligent perception decision model based on multi-agent nodes in the internet of things

Abstract

In the Internet of Things environment, the energy consumption of trust transmission has a significant impact on ensuring the stable operation of the network. To effectively manage and control energy consumption, this study proposes a study on intelligent perception of energy consumption through trust transmission among Internet of Things nodes. This study intends to effectively control the energy consumption of Internet of Things nodes and provide new solutions for energy management in the Internet of Things. Firstly, it conducts research on the intelligent perception trust model for Internet of Things nodes to ensure accurate calculation and evaluation of node trust, and to adapt to changes in the Internet of Things environment. Secondly, a trust transmission energy consumption intelligent perception model based on multi-agent nodes in the Internet of Things is constructed. To improve the efficiency and accuracy of trust transmission and control energy consumption, the concept of multi-agent is introduced and combined with energy consumption intelligent perception technology. The experimental results show that the energy consumption of the model decreases from the initial 0.56 to 0.24 with the change in the number of recombinations, a decrease of approximately 57%. As the number of cycles changes, it decreases from the initial 0.51 to 0.22, a decrease of approximately 57%. It is evident that it has significant advantages in energy consumption control. It can be seen that this study explores the differences in energy consumption control among different trust models, providing an important reference for subsequent model selection and optimization.