Cross Layer Optimization Method of Transmission Line Condition Monitoring and Data Acquisition Based on WSN

Aiming at the problems of corona noise interference, low real-time performance and low reliability of data acquisition, a cross layer optimization method based on wireless sensor network(WSN) is proposed. Firstly, according to the fact that the transmission line is easy to generate corona noise, the system communication model is designed, and the reliability and delay are analyzed deeply. Under the maximum reliability constraint, the transmission delay needs to be controlled to meet the given time limit. Secondly, the problem of finding the optimal number of sensor nodes is transformed into a mixed integer nonlinear programming, and the optimal link is obtained by the link adaptive direct search (LADS) algorithm. At last, the WSN routing algorithm based on quantum ant colony is used to realize the global optimization of the best routing path. Simulation results show that the proposed method has lower transmission delay compared with other traditional algorithms, and can effectively improve the reliability of data transmission, and can meet the application requirements of all-round state monitoring of high-voltage transmission lines.