Research on Interference Elimination-Based Energy Consumption of the Internet of Things

INTRODUCTION: During the uninterrupted operation of the Internet of Things, the continuous activity of a large number of terminal devices not only increases the energy consumption of the nodes, but also causes signal interference between devices, resulting in degraded channel conditions and Quality of Service of the Internet of Things, increased data transmission latency, and a further increase in energy consumption of the Internet of Things. OBJECTIVES: To mitigate the effects of communication conflict and signal interference on data transmission and reduce the energy consumption of the Internet of Things, an interference elimination-based energy consumption optimization algorithm for the Internet of Things is proposed. METHODS: According to the model of the Internet of Things, this paper divides the nodes of the Internet of Things into sink nodes and terminal nodes. The sink node dynamically allocates data transmission time-slots based on the Signal-to-Interference plus Noise Ratios of the terminal nodes. Meanwhile, the terminal node adaptively adjusts its power on the basis of its activity status while guaranteeing data transmission performance. RESULTS: The simulation results showed that the data transmission latency was reduced, signal interference mitigated, channel environments improved, and energy consumption of the Internet of Things lowered. CONCLUSION: The proposed algorithm can effectively reduce the impact of channel interference on the data transmission of terminal nodes, improve data transmission performance and Quality of Service of the Internet of Things, and reduce energy consumption of the Internet of Things.