Research on the deployment scheme of electric power IoT sensor nodes based on multi-objective planning

The many types of sensors that WSNs have have a promising application in the Internet of Things (IoT) for electricity. This paper describes three common perception models in the coverage problem and establishes a multi-objective planning model for sensor node deployment. The particle swarm algorithm is combined with the improved firefly algorithm and optimized to obtain the hybrid algorithm PGSO for solving the node coverage problem. The performance of the four algorithms, including the hybrid algorithm, is tested through simulation-controlled experiments using six sets of different types of benchmark test functions. Simulation experiments for deployment of WSNs sensor nodes are conducted in a 50m×50m area of interest. The convergence curves of the four algorithms under six sets of benchmark test functions show that the hybrid algorithm has the best convergence performance among all algorithms. The coverage of the deployment scheme based on the PGSO algorithm is 91.12%, which is 27.75% higher than the initial deployment coverage, and the average movement distance of the sensor nodes is 4.16 m. Compared to other algorithms, the hybrid algorithm has a more significant deployment effect. Optimizing the sensor node deployment scheme is of great significance for reducing the cost of sensor node deployment and improving its deployment efficiency in power IoT.