Data Prediction Algorithm in Wireless Sensor Networks for Oil and Gas Pipeline Monitoring

摘要

Energy efficient problem of wireless sensor networks for oil and gas pipeline systems is a fundamental problem, and furthermore, data prediction algorithm can effectively reduce the communication energy consumption of WSNs. This paper firstly analyzes existing common data prediction algorithms and the data characteristics of oil and gas pipelines monitoring data. And then introduces the three-layer architecture of WSNs. Lastly, the adaptability analysis of various prediction algorithms are proposed, the analysis result shows that the accuracy of data prediction algorithm can meet requirements of oil and gas monitoring, and prediction algorithms can effectively reduce the amount of data transmission and prolong network life span.