Energy consumption detection of sensor nodes in the Internet of things based on modal symmetry algorithm

The traditional energy consumption detection method ignores the energy consumption location of nodes, so that nodes and energy consumption values do not have symmetry law, resulting in energy consumption detection results out of the actual value, and poor anti-interference. Therefore, based on the modal symmetry algorithm, a new energy consumption detection method of sensor nodes in the Internet of things is proposed. Combining the gray theory with Markov model, a model of energy consumption detection of sensor nodes in the Internet of things is built. The model is used to analyze the similarity between sensors, the relationship between relative coordinates and Euclidean distance in multi-dimensional space, and to locate sensor energy consumption nodes in the Internet of things according to the analysis results. Based on the energy consumption node positioning results, the modal transformation characteristics of the nodes are obtained based on the modal symmetry algorithm, so as to realize the energy consumption detection of the sensor nodes. The experimental results show that compared with the traditional detection method, the proposed detection method has stronger symmetry regularity between nodes and energy consumption value, the detection results are more consistent with the actual results, and can effectively resist the influence of interference factors in the detection process, which shows that the detection results of this method are more reliable.