Abstract: In order to reduce the delay of data transmission in banded wireless sensor networks, the author proposed a real-time intelligent data collection algorithm based on data compression and line scheduling. Firstly, through the transformation training of the collected data, the correlation of the data was evaluated, and the longest scale of segmentation coding was determined, so that the redundant information was compressed by recoding. Secondly, the author calculated the maximum time slot length occupied by data collection, scheduled network collection links, and minimized time delay.  Finally, the transmission energy consumption model was built by multi-path transmission mechanism, and solved by Lagrange function algorithm to complete data collection. The simulation results show that the proposed algorithm has the advantages of network load balancing, small data collection  transmission delay, low energy consumption and good robustness.

Key words: banded , wireless sensor network, Lagrange function algorithm, real-time data collection, link scheduling