Strong electromagnetic interference formed by UHV transmission towers and harsh natural environment seriously affect the quality of data transmission in the field of wireless sensor networks, result the issues that communication data overflow in a wireless sensor network and error rate increases, and so on. Depend on UHV transmission tower real-time monitoring system based on wireless sensor networks, this paper researched communication characteristics under strong electromagnetic environments, proposed low SNR channel coding transmission method (LSCC), which is based on the theory of compressed sensing, while this method improved the measurement matrix, at the same time, it can adjust bit amount of information adaptively, based on Channel deleted probability, to reduce the required number of measurement values for reconstruction. Experiments indicate that low SNR channel coding method reduces a data overflow rate 11.29% caused by channel interference brought by the transmission UHV transmission tower strong electromagnetic field, effectively enhancing the actual application performance of transmission towers monitoring system.