NSGA-II Based Multi-objective Optimization Method for Power IoT Terminal Sensors

In the IoT system of transmission, substation and distribution power with complex sensing nodes, the problem of taking into account the dynamic configuration of terminal sensor parameters and battery life in the sensing layer needs to be addressed. To address this issue, a multi-objective optimization method using NSGA-II genetic algorithm is presented for solving a multi-objective optimization model with communication distance and lifetime as optimization objectives to obtain multiple sets of parameter configurations for the transmit power, communication channel and sampling period of the terminal sensor, while using a fuzzy affiliation function to choose the optimal solution to achieve the optimal configuration of the parameters. The model and method are applied to the optimal configuration of parameters of temperature and inclination sensors, and the feasibility of the proposed method is confirmed.