Optimal data propagation approach based on probabilistic model for pipeline sensor networks

Wireless sensor networks have been applied to monitor the security of the pipeline for several years. In this type of network, network lifetime is one of the main considering issues during the process of pipeline monitoring. This paper carries out the researches on how to improve the network lifetime from the standpoint of data transmission, and puts forward a probabilistic model for optimal data propagation used in pipeline monitoring sensor networks. To obtain the optimal solution and improve calculation accuracy, artificial fish school algorithm is introduced to calculate the probabilistic values of the model. Numerical and simulation results verify the effectiveness of new method. Compared with two conventional data transmission approaches, our algorithm can perfectly enhance the network lifetime and balance the network load, meeting the applicable requirement of pipeline monitoring.